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-rw-r--r--ansible/nsb_setup.yml2
-rw-r--r--docker/Dockerfile2
-rw-r--r--docker/Dockerfile.aarch64.patch23
-rw-r--r--docs/release/results/euphrates_fraser_comparsion.rst8
-rw-r--r--docs/release/results/images/tc002_pod.pngbin0 -> 39106 bytes
-rw-r--r--docs/release/results/images/tc002_scenario.pngbin0 -> 44920 bytes
-rw-r--r--docs/release/results/images/tc010_pod.pngbin0 -> 44349 bytes
-rw-r--r--docs/release/results/images/tc010_scenario.pngbin0 -> 51251 bytes
-rw-r--r--docs/release/results/images/tc011_pod.pngbin0 -> 43308 bytes
-rw-r--r--docs/release/results/images/tc011_scenario.pngbin0 -> 43647 bytes
-rw-r--r--docs/release/results/images/tc012_pod.pngbin0 -> 47996 bytes
-rw-r--r--docs/release/results/images/tc012_scenario.pngbin0 -> 51405 bytes
-rw-r--r--docs/release/results/images/tc014_pod.pngbin0 -> 36462 bytes
-rw-r--r--docs/release/results/images/tc014_scenario.pngbin0 -> 42056 bytes
-rw-r--r--docs/release/results/images/tc069_pod.pngbin0 -> 41823 bytes
-rw-r--r--docs/release/results/images/tc069_scenario.pngbin0 -> 46728 bytes
-rw-r--r--docs/release/results/images/tc082_pod.pngbin0 -> 28096 bytes
-rw-r--r--docs/release/results/images/tc082_scenario.pngbin0 -> 16082 bytes
-rw-r--r--docs/release/results/images/tc083_pod.pngbin0 -> 29533 bytes
-rw-r--r--docs/release/results/images/tc083_scenario.pngbin0 -> 16481 bytes
-rw-r--r--docs/release/results/index.rst1
-rw-r--r--docs/release/results/os-nosdn-kvm-ha.rst270
-rw-r--r--docs/release/results/os-nosdn-nofeature-ha.rst492
-rw-r--r--docs/release/results/os-nosdn-nofeature-noha.rst259
-rw-r--r--docs/release/results/os-odl_l2-bgpvpn-ha.rst53
-rw-r--r--docs/release/results/os-odl_l2-nofeature-ha.rst743
-rw-r--r--docs/release/results/os-odl_l2-sfc-ha.rst231
-rw-r--r--docs/release/results/os-onos-nofeature-ha.rst257
-rw-r--r--docs/release/results/os-onos-sfc-ha.rst517
-rw-r--r--docs/release/results/overview.rst76
-rw-r--r--docs/release/results/results.rst32
-rw-r--r--docs/release/results/tc002-network-latency.rst317
-rw-r--r--docs/release/results/tc010-memory-read-latency.rst299
-rw-r--r--docs/release/results/tc011-packet-delay-variation.rst262
-rw-r--r--docs/release/results/tc012-memory-read-write-bandwidth.rst299
-rw-r--r--docs/release/results/tc014-cpu-processing-speed.rst298
-rw-r--r--docs/release/results/tc069-memory-write-bandwidth.rst300
-rw-r--r--docs/release/results/tc082-context-switches-under-load.rst129
-rw-r--r--docs/release/results/tc083-network-throughput-between-vm.rst129
-rwxr-xr-xdocs/testing/developer/devguide/devguide.rst3
-rw-r--r--etc/yardstick/nodes/apex_baremetal/pod.yaml46
-rw-r--r--etc/yardstick/nodes/apex_virtual/pod.yaml40
-rwxr-xr-xnsb_setup.sh8
-rw-r--r--samples/test_suite.yaml3
-rw-r--r--samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg6
-rw-r--r--samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg13
-rwxr-xr-xtests/ci/prepare_env.sh67
-rw-r--r--tests/opnfv/test_cases/opnfv_yardstick_tc092.yaml276
-rw-r--r--tests/opnfv/test_cases/opnfv_yardstick_tc093.yaml313
-rw-r--r--tests/opnfv/test_suites/opnfv_os-odl-nofeature-ha_daily.yaml15
-rw-r--r--tests/opnfv/test_suites/opnfv_os-odl-nofeature-noha_daily.yaml8
-rw-r--r--tests/unit/network_services/vnf_generic/vnf/test_base.py8
-rw-r--r--tests/unit/network_services/vnf_generic/vnf/test_sample_vnf.py58
-rw-r--r--yardstick/benchmark/scenarios/availability/attacker/attacker_process.py15
-rw-r--r--yardstick/benchmark/scenarios/availability/attacker/baseattacker.py2
-rw-r--r--yardstick/benchmark/scenarios/availability/director.py22
-rwxr-xr-xyardstick/benchmark/scenarios/availability/ha_tools/start_service.bash13
-rw-r--r--yardstick/benchmark/scenarios/availability/monitor/basemonitor.py2
-rw-r--r--yardstick/benchmark/scenarios/availability/monitor/monitor_command.py12
-rw-r--r--yardstick/benchmark/scenarios/availability/monitor/monitor_multi.py5
-rw-r--r--yardstick/benchmark/scenarios/availability/monitor/monitor_process.py10
-rwxr-xr-xyardstick/benchmark/scenarios/availability/serviceha.py8
-rw-r--r--yardstick/benchmark/scenarios/networking/vnf_generic.py2
-rw-r--r--yardstick/network_services/collector/subscriber.py40
-rw-r--r--yardstick/network_services/vnf_generic/vnf/base.py32
-rw-r--r--yardstick/network_services/vnf_generic/vnf/sample_vnf.py69
-rw-r--r--yardstick/tests/unit/common/test_packages.py88
-rw-r--r--yardstick/tests/unit/network_services/collector/test_subscriber.py44
68 files changed, 3189 insertions, 3038 deletions
diff --git a/ansible/nsb_setup.yml b/ansible/nsb_setup.yml
index 0149054ae..fcde1d1b2 100644
--- a/ansible/nsb_setup.yml
+++ b/ansible/nsb_setup.yml
@@ -37,7 +37,7 @@
name: yardstick
pull: yes
recreate: yes
- image: opnfv/yardstick:latest
+ image: "{{ yardstick_docker_image|default('opnfv/yardstick:latest') }}"
state: started
restart_policy: always
privileged: yes
diff --git a/docker/Dockerfile b/docker/Dockerfile
index 5813f0245..62ea0d037 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -51,7 +51,7 @@ EXPOSE 5000 5672
ADD http://download.cirros-cloud.net/0.3.5/cirros-0.3.5-x86_64-disk.img ${IMAGE_DIR}
ADD http://cloud-images.ubuntu.com/xenial/current/xenial-server-cloudimg-amd64-disk1.img ${IMAGE_DIR}
-COPY ./docker/exec_tests.sh /usr/local/bin/
+COPY ./exec_tests.sh /usr/local/bin/
ENV NSB_DIR="/opt/nsb_bin"
ENV PYTHONPATH="${PYTHONPATH}:${NSB_DIR}/trex_client:${NSB_DIR}/trex_client/stl"
diff --git a/docker/Dockerfile.aarch64.patch b/docker/Dockerfile.aarch64.patch
index 720a39970..6c7381284 100644
--- a/docker/Dockerfile.aarch64.patch
+++ b/docker/Dockerfile.aarch64.patch
@@ -1,15 +1,14 @@
-From: Cristina Pauna <cristina.pauna@enea.com>
-Date: Mon, 30 Apr 2018 14:09:00 +0300
-Subject: [PATCH] [PATCH] Patch for Yardstick AARCH64 Docker file
+From: ting wu <ting.wu@enea.com>
+Date: Tue, 8 May 2018 14:02:52 +0200
+Subject: [PATCH][PATCH] Patch for Yardstick AARCH64 Docker file
-Signed-off-by: Cristina Pauna <cristina.pauna@enea.com>
-Signed-off-by: Alexandru Nemes <alexandru.nemes@enea.com>
+Signed-off-by: ting wu <ting.wu@enea.com>
---
- docker/Dockerfile | 12 +++++++-----
- 1 file changed, 7 insertions(+), 5 deletions(-)
+ docker/Dockerfile | 11 ++++++-----
+ 1 file changed, 6 insertions(+), 5 deletions(-)
diff --git a/docker/Dockerfile b/docker/Dockerfile
-index fed9f9bd..9654b5dc 100644
+index 62ea0d0..f2f41771 100644
--- a/docker/Dockerfile
+++ b/docker/Dockerfile
@@ -7,9 +7,9 @@
@@ -24,18 +23,17 @@ index fed9f9bd..9654b5dc 100644
ARG BRANCH=master
-@@ -24,7 +24,9 @@ ENV YARDSTICK_REPO_DIR="${REPOS_DIR}/yardstick/" \
+@@ -24,7 +24,8 @@ ENV YARDSTICK_REPO_DIR="${REPOS_DIR}/yardstick/" \
RELENG_REPO_DIR="${REPOS_DIR}/releng" \
STORPERF_REPO_DIR="${REPOS_DIR}/storperf"
-RUN apt-get update && apt-get install -y git python python-setuptools python-pip && apt-get -y autoremove && apt-get clean
+RUN apt-get update && apt-get install -y git python python-setuptools python-pip && apt-get -y autoremove && \
+ apt-get install -y libssl-dev && apt-get -y install libffi-dev && apt-get clean
-+
RUN easy_install -U setuptools==30.0.0
RUN pip install appdirs==1.4.0 pyopenssl==17.5.0 python-openstackclient==3.11.0 python-heatclient==1.11.0 ansible==2.4.2
-@@ -45,8 +47,8 @@ RUN echo "daemon off;" >> /etc/nginx/nginx.conf
+@@ -48,8 +49,8 @@ RUN echo "daemon off;" >> /etc/nginx/nginx.conf
# nginx=5000, rabbitmq=5672
EXPOSE 5000 5672
@@ -44,5 +42,6 @@ index fed9f9bd..9654b5dc 100644
+ADD http://download.cirros-cloud.net/daily/20161201/cirros-d161201-aarch64-disk.img ${IMAGE_DIR}
+ADD http://cloud-images.ubuntu.com/xenial/current/xenial-server-cloudimg-arm64-disk1.img ${IMAGE_DIR}
- COPY ./docker/exec_tests.sh /usr/local/bin/
+ COPY ./exec_tests.sh /usr/local/bin/
+
diff --git a/docs/release/results/euphrates_fraser_comparsion.rst b/docs/release/results/euphrates_fraser_comparsion.rst
new file mode 100644
index 000000000..222dc8bb0
--- /dev/null
+++ b/docs/release/results/euphrates_fraser_comparsion.rst
@@ -0,0 +1,8 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+=======================================================
+Test results analysis for Euphrates and Fraser releases
+=======================================================
+
diff --git a/docs/release/results/images/tc002_pod.png b/docs/release/results/images/tc002_pod.png
new file mode 100644
index 000000000..7f92c471d
--- /dev/null
+++ b/docs/release/results/images/tc002_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc002_scenario.png b/docs/release/results/images/tc002_scenario.png
new file mode 100644
index 000000000..0ea1ecec6
--- /dev/null
+++ b/docs/release/results/images/tc002_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc010_pod.png b/docs/release/results/images/tc010_pod.png
new file mode 100644
index 000000000..c7c623481
--- /dev/null
+++ b/docs/release/results/images/tc010_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc010_scenario.png b/docs/release/results/images/tc010_scenario.png
new file mode 100644
index 000000000..7c53a5fab
--- /dev/null
+++ b/docs/release/results/images/tc010_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc011_pod.png b/docs/release/results/images/tc011_pod.png
new file mode 100644
index 000000000..8fec72f5a
--- /dev/null
+++ b/docs/release/results/images/tc011_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc011_scenario.png b/docs/release/results/images/tc011_scenario.png
new file mode 100644
index 000000000..2d78ea372
--- /dev/null
+++ b/docs/release/results/images/tc011_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc012_pod.png b/docs/release/results/images/tc012_pod.png
new file mode 100644
index 000000000..0f2a00910
--- /dev/null
+++ b/docs/release/results/images/tc012_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc012_scenario.png b/docs/release/results/images/tc012_scenario.png
new file mode 100644
index 000000000..16257988d
--- /dev/null
+++ b/docs/release/results/images/tc012_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc014_pod.png b/docs/release/results/images/tc014_pod.png
new file mode 100644
index 000000000..63aead2e8
--- /dev/null
+++ b/docs/release/results/images/tc014_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc014_scenario.png b/docs/release/results/images/tc014_scenario.png
new file mode 100644
index 000000000..98f23ba1b
--- /dev/null
+++ b/docs/release/results/images/tc014_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc069_pod.png b/docs/release/results/images/tc069_pod.png
new file mode 100644
index 000000000..66b272cb4
--- /dev/null
+++ b/docs/release/results/images/tc069_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc069_scenario.png b/docs/release/results/images/tc069_scenario.png
new file mode 100644
index 000000000..caf12f8d5
--- /dev/null
+++ b/docs/release/results/images/tc069_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc082_pod.png b/docs/release/results/images/tc082_pod.png
new file mode 100644
index 000000000..89e01666b
--- /dev/null
+++ b/docs/release/results/images/tc082_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc082_scenario.png b/docs/release/results/images/tc082_scenario.png
new file mode 100644
index 000000000..637a739c3
--- /dev/null
+++ b/docs/release/results/images/tc082_scenario.png
Binary files differ
diff --git a/docs/release/results/images/tc083_pod.png b/docs/release/results/images/tc083_pod.png
new file mode 100644
index 000000000..f874191e4
--- /dev/null
+++ b/docs/release/results/images/tc083_pod.png
Binary files differ
diff --git a/docs/release/results/images/tc083_scenario.png b/docs/release/results/images/tc083_scenario.png
new file mode 100644
index 000000000..afd80aa02
--- /dev/null
+++ b/docs/release/results/images/tc083_scenario.png
Binary files differ
diff --git a/docs/release/results/index.rst b/docs/release/results/index.rst
index 0560152e0..3ec9e1cff 100644
--- a/docs/release/results/index.rst
+++ b/docs/release/results/index.rst
@@ -14,3 +14,4 @@ Yardstick test results
.. include:: ./overview.rst
.. include:: ./results.rst
+.. include:: ./euphrates_fraser_comparsion.rst
diff --git a/docs/release/results/os-nosdn-kvm-ha.rst b/docs/release/results/os-nosdn-kvm-ha.rst
deleted file mode 100644
index a8a56f80e..000000000
--- a/docs/release/results/os-nosdn-kvm-ha.rst
+++ /dev/null
@@ -1,270 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-================================
-Test Results for os-nosdn-kvm-ha
-================================
-
-.. toctree::
- :maxdepth: 2
-
-
-fuel
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD2: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test
-runs, each run on the Ericsson POD2_ or LF POD2_ between August 24 and 30 in
-2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.44 and 0.75 ms.
-A few runs start with a 0.65 - 0.68 ms RTT spike (This could be because of
-normal ARP handling). One test run has a greater RTT spike of 1.49 ms.
-To be able to draw conclusions more runs should be made. SLA set to 10 ms.
-The SLA value is used as a reference, it has not been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth looks similar between different dates, with an
-average between approx. 92 and 204 MB/s. Within each test run the results
-vary, with a minimum 2 MB/s and maximum 819 MB/s on the totality. Most runs
-have a minimum BW of 3 MB/s (one run at 2 MB/s). The maximum BW varies more in
-absolute numbers between the dates, between 238 and 819 MB/s.
-SLA set to 400 MB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC010
------
-The measurements for memory latency are similar between test dates and result
-in approx. 2.07 ns. The variations within each test run are similar, between
-1.41 and 3.53 ns.
-SLA set to 30 ns. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-TC011
------
-Packet delay variation between 2 VMs on different blades is measured using
-Iperf3. The reported packet delay variation varies between 0.0051 and 0.0243 ms,
-with an average delay variation between 0.0081 ms and 0.0195 ms.
-
-TC012
------
-Between test dates, the average measurements for memory bandwidth result in
-approx. 13.6 GB/s. Within each test run the results vary more, with a minimal
-BW of 6.09 GB/s and maximum of 16.47 GB/s on the totality.
-SLA set to 15 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC014
------
-The Unixbench processor test run results vary between scores 2316 and 3619,
-one result each date.
-No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-CPU utilization statistics are collected during UDP flows sent between the VMs
-using pktgen as packet generator tool. The average measurements for CPU
-utilization ratio vary between 1% to 2%. The peak of CPU utilization ratio
-appears around 7%.
-
-TC069
------
-Between test dates, the average measurements for memory bandwidth vary between
-22.6 and 29.1 GB/s. Within each test run the results vary more, with a minimal
-BW of 20.0 GB/s and maximum of 29.5 GB/s on the totality.
-SLA set to 6 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Memory utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for memory
-utilization vary between 225MB to 246MB. The peak of memory utilization appears
-around 340MB.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Cache utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for cache
-utilization vary between 205MB to 212MB.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. Total number of packets received per
-second was average on 200 kpps and total number of packets transmitted per
-second was average on 600 kpps.
-
-Detailed test results
----------------------
-The scenario was run on Ericsson POD2_ and LF POD2_ with:
-Fuel 9.0
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-Conclusions and recommendations
--------------------------------
-The pktgen test configuration has a relatively large base effect on RTT in
-TC037 compared to TC002, where there is no background load at all. Approx.
-15 ms compared to approx. 0.5 ms, which is more than a 3000 percentage
-difference in RTT results.
-Especially RTT and throughput come out with better results than for instance
-the *fuel-os-nosdn-nofeature-ha* scenario does. The reason for this should
-probably be further analyzed and understood. Also of interest could be
-to make further analyzes to find patterns and reasons for lost traffic.
-Also of interest could be to see if there are continuous variations where
-some test cases stand out with better or worse results than the general test
-case.
-
diff --git a/docs/release/results/os-nosdn-nofeature-ha.rst b/docs/release/results/os-nosdn-nofeature-ha.rst
deleted file mode 100644
index 9e52731d5..000000000
--- a/docs/release/results/os-nosdn-nofeature-ha.rst
+++ /dev/null
@@ -1,492 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-======================================
-Test Results for os-nosdn-nofeature-ha
-======================================
-
-.. toctree::
- :maxdepth: 2
-
-
-apex
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD1: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test
-runs, each run on the LF POD1_ between August 25 and 28 in
-2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.74 and 1.08 ms.
-A few runs start with a 0.99 - 1.07 ms RTT spike (This could be because of
-normal ARP handling). One test run has a greater RTT spike of 1.35 ms.
-To be able to draw conclusions more runs should be made. SLA set to 10 ms.
-The SLA value is used as a reference, it has not been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth looks similar between different dates, with an
-average between approx. 128 and 136 MB/s. Within each test run the results
-vary, with a minimum 5 MB/s and maximum 446 MB/s on the totality. Most runs
-have a minimum BW of 5 MB/s (one run at 6 MB/s). The maximum BW varies more in
-absolute numbers between the dates, between 416 and 446 MB/s.
-SLA set to 400 MB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC010
------
-The measurements for memory latency are similar between test dates and result
-in approx. 1.09 ns. The variations within each test run are similar, between
-1.0860 and 1.0880 ns.
-SLA set to 30 ns. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-TC011
------
-Packet delay variation between 2 VMs on different blades is measured using
-Iperf3. The reported packet delay variation varies between 0.0025 and 0.0148 ms,
-with an average delay variation between 0.0056 ms and 0.0157 ms.
-
-TC012
------
-Between test dates, the average measurements for memory bandwidth result in
-approx. 19.70 GB/s. Within each test run the results vary more, with a minimal
-BW of 18.16 GB/s and maximum of 20.13 GB/s on the totality.
-SLA set to 15 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC014
------
-The Unixbench processor test run results vary between scores 3224.4 and 3842.8,
-one result each date. The average score on the total is 3659.5.
-No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-CPU utilization statistics are collected during UDP flows sent between the VMs
-using pktgen as packet generator tool. The average measurements for CPU
-utilization ratio vary between 1% to 2%. The peak of CPU utilization ratio
-appears around 7%.
-
-TC069
------
-Between test dates, the average measurements for memory bandwidth vary between
-22.6 and 29.1 GB/s. Within each test run the results vary more, with a minimal
-BW of 20.0 GB/s and maximum of 29.5 GB/s on the totality.
-SLA set to 6 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Memory utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for memory
-utilization vary between 225MB to 246MB. The peak of memory utilization appears
-around 340MB.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Cache utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for cache
-utilization vary between 205MB to 212MB.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. Total number of packets received per
-second was average on 200 kpps and total number of packets transmitted per
-second was average on 600 kpps.
-
-Detailed test results
----------------------
-The scenario was run on LF POD1_ with:
-Apex
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-
-Joid
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD5: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Intel POD5_ between September 11 and 14 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 1.59 and 1.70 ms.
-Two test runs have reached the same greater RTT spike of 3.06 ms, which are
-1.66 and 1.70 ms average, but only one has the lower RTT of 1.35 ms. The other
-two runs have no similar spike at all. To be able to draw conclusions more runs
-should be made. SLA set to be 10 ms. The SLA value is used as a reference, it
-has not been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput and the
-greatest IO read bandwidth of the four runs is 173.3 MB/s. The IO read
-bandwidth of the four runs looks similar on different four days, with an
-average between 32.7 and 60.4 MB/s. One of the runs has a minimum BW of 429
-KM/s and other has a maximum BW of 173.3 MB/s. The SLA of read bandwidth sets
-to be 400 MB/s, which is used as a reference, and it has not been defined by
-OPNFV.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is 1.1 ns on average. The
-variations within each test run are different, some vary from a large range and
-others have a small change. For example, the largest change is on September 14,
-the memory read latency of which is ranging from 1.12 ns to 1.22 ns. However,
-the results on September 12 change very little, which range from 1.14 ns to
-1.17 ns. The SLA sets to be 30 ns. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC011
------
-Iperf3 is a tool for evaluating the pocket delay variation between 2 VMs on
-different blades. The reported pocket delay variations of the four test runs
-differ from each other. The results on September 13 within the date look
-similar and the values are between 0.0087 and 0.0190 ms, which is 0.0126 ms on
-average. However, on the fourth day, the pocket delay variation has a large
-wide change within the date, which ranges from 0.0032 ms to 0.0121 ms and has
-the minimum average value. The pocket delay variations of other two test runs
-look relatively similar, which are 0.0076 ms and 0.0152 ms on average. The SLA
-value sets to be 10 ms. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the four test runs, the memory
-bandwidth within the second day almost keep stable, which is 11.58 GB/s on
-average. And the memory bandwidth of the fourth day look similar as that of the
-second day, both of which remain stable. The other two test runs relatively
-change from a large wide range, in which the minimum memory bandwidth is 11.22
-GB/s and the maximum bandwidth is 16.65 GB/s with an average bandwidth of about
-12.20 GB/s. Here SLA set to be 15 GB/s. The SLA value is used as a reference,
-it has not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to measure processing speed, that is instructions per
-second. It can be seen from the dashboard that the processing test results
-vary from scores 3272 to 3444, and there is only one result one date. The
-overall average score is 3371. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the four test runs is 119.85, 128.02, 121.40 and
-126.08 kpps, of which the result of the second is the highest. The RTT results
-of all the test runs keep flat at approx. 37 ms. It is obvious that the PPS
-results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 184 kpps and the
-minimum throughput is 49 K respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar average vaue, that is 38 ms, of which the worest RTT is
-93 ms on Sep. 14th.
-
-CPU load of the four test runs have a large change, since the minimum value and
-the peak of CPU load is 0 percent and 51 percent respectively. And the best
-result is obtained on Sep. 14th.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 22.3 GB/s to 26.8 GB/s and then to 18.5 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is 8 kb and 16 kb, the memory write bandwidth
-look similar with a minimal BW of 22.5 GB/s and peak value of 28.7 GB/s. SLA
-sets to be 7 GB/s. The SLA value is used as a a reference, it has not been
-defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT can reach
-more than 80 ms and the average RTT is usually approx. 38 ms. On the whole, the
-average RTTs of the four runs keep flat.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 268 MiB on Sep
-14, which also has the largest minimum memory. Besides, the rest three test
-runs have the similar used memory. On the other hand, the free memory of the
-four runs have the same smallest minimum value, that is about 223 MiB, and the
-maximum free memory of three runs have the similar result, that is 337 MiB,
-except that on Sep. 14th, whose maximum free memory is 254 MiB. On the whole,
-all the test runs have similar average free memory.
-
-Network throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-network throughput of the four test runs seem quite different, ranging from
-119.85 kpps to 128.02 kpps. The average number of flows in these tests is
-24000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding packet throughput
-differ between 49.4k and 193.3k with an average packet throughput of approx.
-125k. On the whole, the PPS results seem consistent. Within each test run of
-the four runs, when number of flows becomes larger, the packet throughput seems
-not larger in the meantime.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT can reach
-more than 94 ms and the average RTT is usually approx. 35 ms. On the whole, the
-average RTTs of the four runs keep flat.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool.The largest
-cache size is 212 MiB in the four runs, and the smallest cache size is 75 MiB.
-On the whole, the average cache size of the four runs is approx. 208 MiB.
-Meanwhile, the tread of the buffer size looks similar with each other.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs seem quite different, ranging from 119.85 kpps to 128.02
-kpps. The average number of flows in these tests is 239.7k, and each run has a
-minimum number of flows of 2 and a maximum number of flows of 1.001 Mil. At the
-same time, the corresponding packet throughput differ between 49.4k and 193.3k
-with an average packet throughput of approx. 125k. On the whole, the PPS results
-seem consistent. Within each test run of the four runs, when number of flows
-becomes larger, the packet throughput seems not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 32 ms. The PPS results are not as consistent as the RTT results.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second differs from each other, in which the smallest number of
-packets transmitted per second is 6 pps on Sep. 12ed and the largest of that is
-210.8 kpps. Meanwhile, the largest total number of packets received per second
-differs from each other, in which the smallest number of packets received per
-second is 2 pps on Sep. 13rd and the largest of that is 250.2 kpps.
-
-In some test runs when running with less than approx. 90000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 1000000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Intel POD5_ with:
-Joid
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-
diff --git a/docs/release/results/os-nosdn-nofeature-noha.rst b/docs/release/results/os-nosdn-nofeature-noha.rst
deleted file mode 100644
index 8b7c184bb..000000000
--- a/docs/release/results/os-nosdn-nofeature-noha.rst
+++ /dev/null
@@ -1,259 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-========================================
-Test Results for os-nosdn-nofeature-noha
-========================================
-
-.. toctree::
- :maxdepth: 2
-
-
-Joid
-=====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD5: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Intel POD5_ between September 12 and 15 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 1.50 and 1.68 ms.
-Only one test run has reached greatest RTT spike of 2.92 ms, which has
-the smallest RTT of 1.06 ms. The other three runs have no similar spike at all,
-the minimum and average RTTs of which are approx. 1.50 ms and 1.68 ms. SLA set to
-be 10 ms. The SLA value is used as a reference, it has not been defined by
-OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 177.5
-MB/s. The IO read bandwidth of the four runs looks similar on different four
-days, with an average between 46.7 and 62.5 MB/s. One of the runs has a minimum
-BW of 680 KM/s and other has a maximum BW of 177.5 MB/s. The SLA of read
-bandwidth sets to be 400 MB/s, which is used as a reference, and it has not
-been defined by OPNFV.
-
-The results of storage IOPS for the four runs look similar with each other. The
-test runs all have an approx. 1.55 K/s for IO reading with an minimum value of
-less than 60 times per second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is between 1.134 ns and 1.227
-ns on average. The variations within each test run are quite different, some
-vary from a large range and others have a small change. For example, the
-largest change is on September 15, the memory read latency of which is ranging
-from 1.116 ns to 1.393 ns. However, the results on September 12 change very
-little, which mainly keep flat and range from 1.124 ns to 1.55 ns. The SLA sets
-to be 30 ns. The SLA value is used as a reference, it has not been defined by
-OPNFV.
-
-TC011
------
-Iperf3 is a tool for evaluating the pocket delay variation between 2 VMs on
-different blades. The reported pocket delay variations of the four test runs
-differ from each other. The results on September 13 within the date look
-similar and the values are between 0.0213 and 0.0225 ms, which is 0.0217 ms on
-average. However, on the third day, the packet delay variation has a large
-wide change within the date, which ranges from 0.008 ms to 0.0225 ms and has
-the minimum value. On Sep. 12, the packet delay is quite long, for the value is
-between 0.0236 and 0.0287 ms and it also has the maximum packet delay of 0.0287
-ms. The packet delay of the last test run is 0.0151 ms on average. The SLA
-value sets to be 10 ms. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the four test runs, the memory
-bandwidth of three test runs almost keep stable within each run, which is
-11.65, 11.57 and 11.64 GB/s on average. However, the memory read and write
-bandwidth on Sep. 14 has a large range, for it ranges from 11.36 GB/s to 16.68
-GB/s. Here SLA set to be 15 GB/s. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3222 to 3585, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the four test runs is 124.8, 160.1, 113.8 and
-137.3 kpps, of which the result of the second is the highest. The RTT results
-of all the test runs keep flat at approx. 37 ms. It is obvious that the PPS
-results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 243.1 kpps and the
-minimum throughput is 37.6 kpps respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar average vaue, that is between 32 ms and 41 ms, of which
-the worest RTT is 155 ms on Sep. 14th.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and 9 percent respectively. And the best result is obtained on Sep.
-15th, with an CPU load of nine percent.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 22.4 GB/s to 26.5 GB/s and then to 18.6 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is 8 kb and 16 kb, the memory write bandwidth
-look similar with a minimal BW of 22.5 GB/s and peak value of 28.7 GB/s. And
-then with the block size becoming larger, the memory write bandwidth tends to
-decrease. SLA sets to be 7 GB/s. The SLA value is used as a a reference, it has
-not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of three test runs look
-similar with each other, and Within these test runs, the maximum RTT can reach
-95 ms and the average RTT is usually approx. 36 ms. The network latency tested
-on Sep. 14 shows that it has a peak latency of 155 ms. But on the whole, the
-average RTTs of the four runs keep flat.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 270 MiB on Sep
-13, which also has the smallest minimum memory utilization. Besides, the rest
-three test runs have the similar used memory with an average memory usage of
-264 MiB. On the other hand, the free memory of the four runs have the same
-smallest minimum value, that is about 223 MiB, and the maximum free memory of
-three runs have the similar result, that is 226 MiB, except that on Sep. 13th,
-whose maximum free memory is 273 MiB. On the whole, all the test runs have
-similar average free memory.
-
-Network throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-network throughput of the four test runs seem quite different, ranging from
-119.85 kpps to 128.02 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding packet throughput
-differ between 38k and 243k with an average packet throughput of approx. 134k.
-On the whole, the PPS results seem consistent. Within each test run of the four
-runs, when number of flows becomes larger, the packet throughput seems not
-larger in the meantime.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT can reach
-79 ms and the average RTT is usually approx. 35 ms. On the whole, the average
-RTTs of the four runs keep flat.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool.The largest
-cache size is 214 MiB in the four runs, and the smallest cache size is 100 MiB.
-On the whole, the average cache size of the four runs is approx. 210 MiB.
-Meanwhile, the tread of the buffer size looks similar with each other. On the
-other hand, the mean buffer size of the four runs keep flat, since they have a
-minimum value of approx. 7 MiB and a maximum value of 8 MiB, with an average
-value of about 8 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs seem quite different, ranging from 113.8 kpps to 124.8 kpps.
-The average number of flows in these tests is 240k, and each run has a minimum
-number of flows of 2 and a maximum number of flows of 1.001 Mil. At the same
-time, the corresponding packet throughput differ between 47.6k and 243.1k with
-an average packet throughput between 113.8k and 160.1k. Within each test run of
-the four runs, when number of flows becomes larger, the packet throughput seems
-not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
-between 0 ms and 79 ms with an average leatency of approx. 35 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the four runs differ from 113.8 kpps to 124.8 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar on the first three runs with a minimum
-number of 10 pps and a maximum number of 97 kpps, except the one on Sep. 15th,
-in which the number of packets transmitted per second is 10 pps. Meanwhile, the
-largest total number of packets received per second differs from each other,
-in which the smallest number of packets received per second is 1 pps and the
-largest of that is 276 kpps.
-
-In some test runs when running with less than approx. 90000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 1000000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Intel POD5_ with:
-Joid
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
diff --git a/docs/release/results/os-odl_l2-bgpvpn-ha.rst b/docs/release/results/os-odl_l2-bgpvpn-ha.rst
deleted file mode 100644
index 2bd6dc35d..000000000
--- a/docs/release/results/os-odl_l2-bgpvpn-ha.rst
+++ /dev/null
@@ -1,53 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-====================================
-Test Results for os-odl_l2-bgpvpn-ha
-====================================
-
-.. toctree::
- :maxdepth: 2
-
-
-fuel
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD2: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Ericsson POD2_ between September 7 and 11 in 2016.
-
-TC043
------
-The round-trip-time (RTT) between 2 nodes is measured using
-ping. Most test run measurements result on average between 0.21 and 0.28 ms.
-A few runs start with a 0.32 - 0.35 ms RTT spike (This could be because of
-normal ARP handling). To be able to draw conclusions more runs should be made.
-SLA set to 10 ms. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-Detailed test results
----------------------
-The scenario was run on Ericsson POD2_ with:
-Fuel 9.0
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
diff --git a/docs/release/results/os-odl_l2-nofeature-ha.rst b/docs/release/results/os-odl_l2-nofeature-ha.rst
deleted file mode 100644
index ac0c5bb59..000000000
--- a/docs/release/results/os-odl_l2-nofeature-ha.rst
+++ /dev/null
@@ -1,743 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-=======================================
-Test Results for os-odl_l2-nofeature-ha
-=======================================
-
-.. toctree::
- :maxdepth: 2
-
-
-apex
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD1: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the LF POD1_ between September 14 and 17 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.49 ms and 0.60 ms.
-Only one test run has reached greatest RTT spike of 0.93 ms. Meanwhile, the
-smallest network latency is 0.33 ms, which is obtained on Sep. 14th.
-SLA set to be 10 ms. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 416
-MB/s. The IO read bandwidth of all four runs looks similar, with an average
-between 128 and 131 MB/s. One of the runs has a minimum BW of 497 KB/s. The SLA
-of read bandwidth sets to be 400 MB/s, which is used as a reference, and it has
-not been defined by OPNFV.
-
-The results of storage IOPS for the four runs look similar with each other. The
-IO read times per second of the four test runs have an average value at 1k per
-second, and meanwhile, the minimum result is only 45 times per second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is between 1.0859 ns and
-1.0869 ns on average. The variations within each test run are quite different,
-some vary from a large range and others have a small change. For example, the
-largest change is on September 14th, the memory read latency of which is ranging
-from 1.091 ns to 1.086 ns. However.
-The SLA sets to be 30 ns. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC011
------
-Packet delay variation between 2 VMs on different blades is measured using
-Iperf3. On the first two test runs the reported packet delay variation varies between
-0.0037 and 0.0740 ms, with an average delay variation between 0.0096 ms and 0.0321.
-On the second date the delay variation varies between 0.0063 and 0.0096 ms, with
-an average delay variation of 0.0124 - 0.0141 ms.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the four test runs, the trend of
-three memory bandwidth almost look similar, which all have a narrow range, and
-the average result is 19.88 GB/s. Here SLA set to be 15 GB/s. The SLA value is
-used as a reference, it has not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3754k to 3831k, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the four test runs is between 307.3 kpps and
-447.1 kpps, of which the result of the third run is the highest. The RTT
-results of all the test runs keep flat at approx. 15 ms. It is obvious that the
-PPS results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 418.1 kpps and the
-minimum throughput is 326.5 kpps respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar average vaue, that is approx. 15 ms.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and nine percent respectively. And the best result is obtained on Sep.
-1, with an CPU load of nine percent. But on the whole, the CPU load is very
-poor, since the average value is quite small.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 28.2 GB/s to 29.5 GB/s and then to 29.2 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is 2 kb or 16 kb, the memory write bandwidth
-look similar with a minimal BW of 25.8 GB/s and peak value of 28.3 GB/s. And
-then with the block size becoming larger, the memory write bandwidth tends to
-decrease. SLA sets to be 7 GB/s. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other, and within these test runs, the maximum RTT can
-reach 39 ms and the average RTT is usually approx. 15 ms. The network latency
-tested on Sep. 1 and Sep. 8 have a peak latency of 39 ms. But on the whole,
-the average RTTs of the five runs keep flat and the network latency is
-relatively short.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 267 MiB for the
-four runs. In general, the four test runs have very large memory utilization,
-which can reach 257 MiB on average. On the other hand, for the mean free memory,
-the four test runs have the similar trend with that of the mean used memory.
-In general, the mean free memory change from 233 MiB to 241 MiB.
-
-Packet throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-packet throughput of the four test runs seem quite different, ranging from
-305.3 kpps to 447.1 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding average packet
-throughput is between 354.4 kpps and 381.8 kpps. In summary, the PPS results
-seem consistent. Within each test run of the four runs, when number of flows
-becomes larger, the packet throughput seems not larger at the same time.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT is only 42
-ms and the average RTT is usually approx. 15 ms. On the whole, the average
-RTTs of the four runs keep stable and the network latency is relatively small.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool. The largest
-cache size is 212 MiB, which is same for the four runs, and the smallest cache
-size is 75 MiB. On the whole, the average cache size of the four runs look the
-same and is between 197 MiB and 211 MiB. Meanwhile, the tread of the buffer
-size keep flat, since they have a minimum value of 7 MiB and a maximum value of
-8 MiB, with an average value of about 7.9 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs differ from 354.4 kpps to 381.8 kpps. The average number of
-flows in these tests is 240k, and each run has a minimum number of flows of 2
-and a maximum number of flows of 1.001 Mil. At the same time, the corresponding
-packet throughput differ between 305.3 kpps to 447.1 kpps. Within each test run
-of the four runs, when number of flows becomes larger, the packet throughput
-seems not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
-between 0 ms and 42 ms with an average leatency of less than 15 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the four runs differ from 354.4 kpps to 381.8 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar for three test runs, whose values change a
-lot from 10 pps to 501 kpps. While results of the rest test run seem the same
-and keep stable with the average number of packets transmitted per second of 10
-pps. However, the total number of packets received per second of the four runs
-look similar, which have a large wide range of 2 pps to 815 kpps.
-
-In some test runs when running with less than approx. 251000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 251000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on LF POD1_ with:
-Apex
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-
-
-fuel
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD2: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Ericsson POD2_ or LF POD2_ between August 25 and 29 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.5 and 0.6 ms.
-A few runs start with a 1 - 1.5 ms RTT spike (This could be because of normal ARP
-handling). One test run has a greater RTT spike of 1.9 ms, which is the same
-one with the 0.7 ms average. The other runs have no similar spike at all.
-To be able to draw conclusions more runs should be made.
-SLA set to 10 ms. The SLA value is used as a reference, it has not
-been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth looks similar between different dates, with an
-average between approx. 170 and 200 MB/s. Within each test run the results
-vary, with a minimum 2 MB/s and maximum 838 MB/s on the totality. Most runs
-have a minimum BW of 3 MB/s (two runs at 2 MB/s). The maximum BW varies more in
-absolute numbers between the dates, between 617 and 838 MB/s.
-SLA set to 400 MB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC010
------
-The measurements for memory latency are similar between test dates and result
-in approx. 1.2 ns. The variations within each test run are similar, between
-1.215 and 1.219 ns. One exception is February 16, where the average is 1.222
-and varies between 1.22 and 1.28 ns.
-SLA set to 30 ns. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-TC011
------
-Packet delay variation between 2 VMs on different blades is measured using
-Iperf3. On the first date the reported packet delay variation varies between
-0.0025 and 0.011 ms, with an average delay variation of 0.0067 ms.
-On the second date the delay variation varies between 0.002 and 0.006 ms, with
-an average delay variation of 0.004 ms.
-
-TC012
------
-Between test dates, the average measurements for memory bandwidth vary between
-17.4 and 17.9 GB/s. Within each test run the results vary more, with a minimal
-BW of 16.4 GB/s and maximum of 18.2 GB/s on the totality.
-SLA set to 15 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC014
------
-The Unixbench processor test run results vary between scores 3080 and 3240,
-one result each date. The average score on the total is 3150.
-No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-CPU utilization statistics are collected during UDP flows sent between the VMs
-using pktgen as packet generator tool. The average measurements for CPU
-utilization ratio vary between 1% to 2%. The peak of CPU utilization ratio
-appears around 7%.
-
-TC069
------
-Between test dates, the average measurements for memory bandwidth vary between
-15.5 and 25.4 GB/s. Within each test run the results vary more, with a minimal
-BW of 9.7 GB/s and maximum of 29.5 GB/s on the totality.
-SLA set to 6 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Memory utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for memory
-utilization vary between 225MB to 246MB. The peak of memory utilization appears
-around 340MB.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Cache utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for cache
-utilization vary between 205MB to 212MB.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. Total number of packets received per
-second was average on 200 kpps and total number of packets transmitted per
-second was average on 600 kpps.
-
-Detailed test results
----------------------
-The scenario was run on Ericsson POD2_ and LF POD2_ with:
-Fuel 9.0
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-Conclusions and recommendations
--------------------------------
-The pktgen test configuration has a relatively large base effect on RTT in
-TC037 compared to TC002, where there is no background load at all. Approx.
-15 ms compared to approx. 0.5 ms, which is more than a 3000 percentage
-difference in RTT results.
-Especially RTT and throughput come out with better results than for instance
-the *fuel-os-nosdn-nofeature-ha* scenario does. The reason for this should
-probably be further analyzed and understood. Also of interest could be
-to make further analyzes to find patterns and reasons for lost traffic.
-Also of interest could be to see if there are continuous variations where
-some test cases stand out with better or worse results than the general test
-case.
-
-
-
-Joid
-=====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD6: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Intel POD6_ between September 1 and 8 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 1.01 ms and 1.88 ms.
-Only one test run has reached greatest RTT spike of 1.88 ms. Meanwhile, the
-smallest network latency is 1.01 ms, which is obtained on Sep. 1st. In general,
-the average of network latency of the four test runs are between 1.29 ms and
-1.34 ms. SLA set to be 10 ms. The SLA value is used as a reference, it has not
-been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 183.65
-MB/s. The IO read bandwidth of the three runs looks similar, with an average
-between 62.9 and 64.3 MB/s, except one on Sep. 1, for its maximum storage
-throughput is only 159.1 MB/s. One of the runs has a minimum BW of 685 KB/s and
-other has a maximum BW of 183.6 MB/s. The SLA of read bandwidth sets to be
-400 MB/s, which is used as a reference, and it has not been defined by OPNFV.
-
-The results of storage IOPS for the four runs look similar with each other. The
-IO read times per second of the four test runs have an average value between
-1.41k per second and 1.64k per second, and meanwhile, the minimum result is
-only 55 times per second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is between 1.152 ns and 1.179
-ns on average. The variations within each test run are quite different, some
-vary from a large range and others have a small change. For example, the
-largest change is on September 8, the memory read latency of which is ranging
-from 1.120 ns to 1.221 ns. However, the results on September 7 change very
-little. The SLA sets to be 30 ns. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC011
------
-Iperf3 is a tool for evaluating the packet delay variation between 2 VMs on
-different blades. The reported packet delay variations of the four test runs
-differ from each other. In general, the packet delay of the first two runs look
-similar, for they both stay stable within each run. And the mean packet delay
-of them are 0.0087 ms and 0.0127 ms respectively. Of the four runs, the fourth
-has the worst result, because the packet delay reaches 0.0187 ms. The SLA value
-sets to be 10 ms. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the four test runs, the trend of
-three memory bandwidth almost look similar, which all have a narrow range, and
-the average result is 11.78 GB/s. Here SLA set to be 15 GB/s. The SLA value is
-used as a reference, it has not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3260k to 3328k, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the four test runs is between 307.3 kpps and
-447.1 kpps, of which the result of the third run is the highest. The RTT
-results of all the test runs keep flat at approx. 15 ms. It is obvious that the
-PPS results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 418.1 kpps and the
-minimum throughput is 326.5 kpps respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar average vaue, that is approx. 15 ms.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and nine percent respectively. And the best result is obtained on Sep.
-1, with an CPU load of nine percent. But on the whole, the CPU load is very
-poor, since the average value is quite small.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 21.9 GB/s to 25.9 GB/s and then to 17.8 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is 2 kb or 16 kb, the memory write bandwidth
-look similar with a minimal BW of 24.8 GB/s and peak value of 27.8 GB/s. And
-then with the block size becoming larger, the memory write bandwidth tends to
-decrease. SLA sets to be 7 GB/s. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other, and within these test runs, the maximum RTT can
-reach 39 ms and the average RTT is usually approx. 15 ms. The network latency
-tested on Sep. 1 and Sep. 8 have a peak latency of 39 ms. But on the whole,
-the average RTTs of the five runs keep flat and the network latency is
-relatively short.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 267 MiB for the
-four runs. In general, the four test runs have very large memory utilization,
-which can reach 257 MiB on average. On the other hand, for the mean free memory,
-the four test runs have the similar trend with that of the mean used memory.
-In general, the mean free memory change from 233 MiB to 241 MiB.
-
-Packet throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-packet throughput of the four test runs seem quite different, ranging from
-305.3 kpps to 447.1 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding average packet
-throughput is between 354.4 kpps and 381.8 kpps. In summary, the PPS results
-seem consistent. Within each test run of the four runs, when number of flows
-becomes larger, the packet throughput seems not larger at the same time.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT is only 42
-ms and the average RTT is usually approx. 15 ms. On the whole, the average
-RTTs of the four runs keep stable and the network latency is relatively small.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool. The largest
-cache size is 212 MiB, which is same for the four runs, and the smallest cache
-size is 75 MiB. On the whole, the average cache size of the four runs look the
-same and is between 197 MiB and 211 MiB. Meanwhile, the tread of the buffer
-size keep flat, since they have a minimum value of 7 MiB and a maximum value of
-8 MiB, with an average value of about 7.9 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs differ from 354.4 kpps to 381.8 kpps. The average number of
-flows in these tests is 240k, and each run has a minimum number of flows of 2
-and a maximum number of flows of 1.001 Mil. At the same time, the corresponding
-packet throughput differ between 305.3 kpps to 447.1 kpps. Within each test run
-of the four runs, when number of flows becomes larger, the packet throughput
-seems not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
-between 0 ms and 42 ms with an average leatency of less than 15 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the four runs differ from 354.4 kpps to 381.8 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar for three test runs, whose values change a
-lot from 10 pps to 501 kpps. While results of the rest test run seem the same
-and keep stable with the average number of packets transmitted per second of 10
-pps. However, the total number of packets received per second of the four runs
-look similar, which have a large wide range of 2 pps to 815 kpps.
-
-In some test runs when running with less than approx. 251000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 251000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Intel POD6_ with:
-Joid
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
diff --git a/docs/release/results/os-odl_l2-sfc-ha.rst b/docs/release/results/os-odl_l2-sfc-ha.rst
deleted file mode 100644
index e27562cae..000000000
--- a/docs/release/results/os-odl_l2-sfc-ha.rst
+++ /dev/null
@@ -1,231 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-==================================
-Test Results for os-odl_l2-sfc-ha
-==================================
-
-.. toctree::
- :maxdepth: 2
-
-
-Fuel
-=====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD2: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the LF POD2_ or Ericsson POD2_ between September 16 and 20 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.32 ms and 1.42 ms.
-Only one test run on Sep. 20 has reached greatest RTT spike of 4.66 ms.
-Meanwhile, the smallest network latency is 0.16 ms, which is obtained on Sep.
-17th. To sum up, the curve of network latency has very small wave, which is
-less than 5 ms. SLA sets to be 10 ms. The SLA value is used as a reference, it
-has not been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 734
-MB/s. The IO read bandwidth of the first three runs looks similar, with an
-average of less than 100 KB/s, except one on Sep. 20, whose maximum storage
-throughput can reach 734 MB/s. The SLA of read bandwidth sets to be 400 MB/s,
-which is used as a reference, and it has not been defined by OPNFV.
-
-The results of storage IOPS for the four runs look similar with each other. The
-IO read times per second of the four test runs have an average value between
-1.8k per second and 3.27k per second, and meanwhile, the minimum result is
-only 60 times per second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is between 1.085 ns and 1.218
-ns on average. The variations within each test run are quite small. For
-Ericsson pod2, the average of memory latency is approx. 1.217 ms. While for LF
-pod2, the average value is about 1.085 ms. It can be seen that the performance
-of LF is better than Ericsson's. The SLA sets to be 30 ns. The SLA value is
-used as a reference, it has not been defined by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. The four test runs all have a narrow range
-of change with the average memory and write BW of 18.5 GB/s. Here SLA set to be
-15 GB/s. The SLA value is used as a reference, it has not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3209k to 3843k, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the three test runs is between 439 kpps and
-582 kpps, and the test run on Sep. 17th has the lowest average value of 371
-kpps. The RTT results of all the test runs keep flat at approx. 10 ms. It is
-obvious that the PPS results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved, since the largest packet throughput is 680 kpps and the
-minimum throughput is 319 kpps respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar trend of RTT with the average value of approx. 12 ms.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and ten percent respectively. And the best result is obtained on Sep.
-17th, with an CPU load of ten percent. But on the whole, the CPU load is very
-poor, since the average value is quite small.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the average memory write
-bandwidth tends to become larger first and then smaller within every run test
-for the two pods, which rangs from 25.1 GB/s to 29.4 GB/s and then to 19.2 GB/s
-on average. Since the test id is one, it is that only the INT memory write
-bandwidth is tested. On the whole, with the block size becoming larger, the
-memory write bandwidth tends to decrease. SLA sets to be 7 GB/s. The SLA value
-is used as a reference, it has not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other, and within these test runs, the maximum RTT can
-reach 27 ms and the average RTT is usually approx. 12 ms. The network latency
-tested on Sep. 27th has a peak latency of 27 ms. But on the whole, the average
-RTTs of the four runs keep flat.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 269 MiB for the
-four runs. In general, the four test runs have very large memory utilization,
-which can reach 251 MiB on average. On the other hand, for the mean free memory,
-the four test runs have the similar trend with that of the mean used memory.
-In general, the mean free memory change from 231 MiB to 248 MiB.
-
-Packet throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-packet throughput of the four test runs seem quite different, ranging from
-371 kpps to 582 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding average packet
-throughput is between 319 kpps and 680 kpps. In summary, the PPS results
-seem consistent. Within each test run of the four runs, when number of flows
-becomes larger, the packet throughput seems not larger at the same time.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT is only 24
-ms and the average RTT is usually approx. 12 ms. On the whole, the average
-RTTs of the four runs keep stable and the network latency is relatively small.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool. The largest
-cache size is 213 MiB, and the smallest cache size is 99 MiB, which is same for
-the four runs. On the whole, the average cache size of the four runs look the
-same and is between 184 MiB and 205 MiB. Meanwhile, the tread of the buffer
-size keep stable, since they have a minimum value of 7 MiB and a maximum value of
-8 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs differ from 371 kpps to 582 kpps. The average number of
-flows in these tests is 240k, and each run has a minimum number of flows of 2
-and a maximum number of flows of 1.001 Mil. At the same time, the corresponding
-packet throughput differ between 319 kpps to 680 kpps. Within each test run
-of the four runs, when number of flows becomes larger, the packet throughput
-seems not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
-between 0 ms and 24 ms with an average leatency of less than 13 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the four runs differ from 370 kpps to 582 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar for the four test runs, whose values change a
-lot from 10 pps to 697 kpps. However, the total number of packets received per
-second of three runs look similar, which have a large wide range of 2 pps to
-1.497 Mpps, while the results on Sep. 18th and 20th have very small maximum
-number of packets received per second of 817 kpps.
-
-In some test runs when running with less than approx. 251000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 251000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Ericsson POD2_ and LF POD2_ with:
-Fuel 9.0
-OpenStack Mitaka
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
diff --git a/docs/release/results/os-onos-nofeature-ha.rst b/docs/release/results/os-onos-nofeature-ha.rst
deleted file mode 100644
index d8b3ace5f..000000000
--- a/docs/release/results/os-onos-nofeature-ha.rst
+++ /dev/null
@@ -1,257 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-======================================
-Test Results for os-onos-nofeature-ha
-======================================
-
-.. toctree::
- :maxdepth: 2
-
-
-Joid
-=====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD6: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 5 scenario test runs, each run
-on the Intel POD6_ between September 13 and 16 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 1.50 and 1.68 ms.
-Only one test run has reached greatest RTT spike of 2.62 ms, which has
-the smallest RTT of 1.00 ms. The other four runs have no similar spike at all,
-the minimum and average RTTs of which are approx. 1.06 ms and 1.32 ms. SLA set
-to be 10 ms. The SLA value is used as a reference, it has not been defined by
-OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 175.4
-MB/s. The IO read bandwidth of the four runs looks similar on different four
-days, with an average between 58.1 and 62.0 MB/s, except one on Sep. 14, for
-its maximum storage throughput is only 133.0 MB/s. One of the runs has a
-minimum BW of 497 KM/s and other has a maximum BW of 177.4 MB/s. The SLA of read
-bandwidth sets to be 400 MB/s, which is used as a reference, and it has not
-been defined by OPNFV.
-
-The results of storage IOPS for the five runs look similar with each other. The
-IO read times per second of the five test runs have an average value between
-1.20 K/s and 1.61 K/s, and meanwhile, the minimum result is only 41 times per
-second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the five runs is between 1.146 ns and 1.172
-ns on average. The variations within each test run are quite different, some
-vary from a large range and others have a small change. For example, the
-largest change is on September 13, the memory read latency of which is ranging
-from 1.152 ns to 1.221 ns. However, the results on September 14 change very
-little. The SLA sets to be 30 ns. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC011
------
-Iperf3 is a tool for evaluating the packet delay variation between 2 VMs on
-different blades. The reported packet delay variations of the five test runs
-differ from each other. In general, the packet delay of the first two runs look
-similar, for they both stay stable within each run. And the mean packet delay of
-of them are 0.07714 ms and 0.07982 ms respectively. Of the five runs, the third
-has the worst result, because the packet delay reaches 0.08384 ms. The trend of
-therest two runs look the same, for the average packet delay are 0.07808 ms and
-0.07727 ms respectively. The SLA value sets to be 10 ms. The SLA value is used
-as a reference, it has not been defined by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the five test runs, the memory
-bandwidth of last three test runs almost keep stable within each run, which is
-11.64, 11.71 and 11.61 GB/s on average. However, the memory read and write
-bandwidth on Sep. 13 has a large range, for it ranges from 6.68 GB/s to 11.73
-GB/s. Here SLA set to be 15 GB/s. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3208 to 3314, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the five test runs is between 259.6 kpps and
-318.4 kpps, of which the result of the second run is the highest. The RTT
-results of all the test runs keep flat at approx. 20 ms. It is obvious that the
-PPS results are not as consistent as the RTT results.
-
-The No. flows of the five test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 398.9 kpps and the
-minimum throughput is 250.6 kpps respectively.
-
-There are no errors of packets received in the five runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the five
-runs have the similar average vaue, that is between 17 ms and 22 ms, of which
-the worest RTT is 53 ms on Sep. 14th.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and 10 percent respectively. And the best result is obtained on Sep.
-13rd, with an CPU load of 10 percent.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 21.6 GB/s to 26.8 GB/s and then to 18.4 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is 8 kb and 16 kb, the memory write bandwidth
-look similar with a minimal BW of 23.0 GB/s and peak value of 28.6 GB/s. And
-then with the block size becoming larger, the memory write bandwidth tends to
-decrease. SLA sets to be 7 GB/s. The SLA value is used as a a reference, it has
-not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the five test runs
-look similar with each other, and within these test runs, the maximum RTT can
-reach 53 ms and the average RTT is usually approx. 18 ms. The network latency
-tested on Sep. 14 shows that it has a peak latency of 53 ms. But on the whole,
-the average RTTs of the five runs keep flat and the network latency is
-relatively short.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 272 MiB on Sep
-14. In general, the mean used memory of the five test runs have the similar
-trend and the minimum memory used size is approx. 150 MiB, and the average
-used memory size is about 250 MiB. On the other hand, for the mean free memory,
-the five test runs have the similar trend, whose mean free memory change from
-218 MiB to 342 MiB, with an average value of approx. 38 MiB.
-
-Packet throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-packet throughput of the five test runs seem quite different, ranging from
-285.29 kpps to 297.76 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding packet throughput
-differ between 250.6k and 398.9k with an average packet throughput between
-277.2 K and 318.4 K. In summary, the PPS results seem consistent. Within each
-test run of the five runs, when number of flows becomes larger, the packet
-throughput seems not larger at the same time.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the five test runs
-look similar with each other. Within each test run, the maximum RTT is only 49
-ms and the average RTT is usually approx. 20 ms. On the whole, the average
-RTTs of the five runs keep stable and the network latency is relatively short.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool.The largest
-cache size is 215 MiB in the four runs, and the smallest cache size is 95 MiB.
-On the whole, the average cache size of the five runs change a little and is
-about 200 MiB, except the one on Sep. 14th, the mean cache size is very small,
-which keeps 102 MiB. Meanwhile, the tread of the buffer size keep flat, since
-they have a minimum value of 7 MiB and a maximum value of 8 MiB, with an
-average value of about 7.8 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs seem quite different, ranging from 285.29 kpps to 297.76
-kpps. The average number of flows in these tests is 239.7k, and each run has a
-minimum number of flows of 2 and a maximum number of flows of 1.001 Mil. At the
-same time, the corresponding packet throughput differ between 227.3k and 398.9k
-with an average packet throughput between 277.2k and 318.4k. Within each test
-run of the five runs, when number of flows becomes larger, the packet
-throughput seems not larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
- between 0 ms and 49 ms with an average leatency of less than 22 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the five runs differ from 250.6 kpps to 398.9 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar for four test runs, whose values change a
-lot from 10 pps to 399 kpps, except the one on Sep. 14th, whose total number
-of transmitted per second keep stable, that is 10 pps. Similarly, the total
-number of packets received per second look the same for four runs, except the
-one on Sep. 14th, whose value is only 10 pps.
-
-In some test runs when running with less than approx. 90000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 250000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Intel POD6_ with:
-Joid
-OpenStack Mitaka
-Onos Goldeneye
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
diff --git a/docs/release/results/os-onos-sfc-ha.rst b/docs/release/results/os-onos-sfc-ha.rst
deleted file mode 100644
index e52ae3d55..000000000
--- a/docs/release/results/os-onos-sfc-ha.rst
+++ /dev/null
@@ -1,517 +0,0 @@
-.. This work is licensed under a Creative Commons Attribution 4.0 International
-.. License.
-.. http://creativecommons.org/licenses/by/4.0
-
-
-===============================
-Test Results for os-onos-sfc-ha
-===============================
-
-.. toctree::
- :maxdepth: 2
-
-
-fuel
-====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD2: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Ericsson POD2_ or LF POD2_ between September 5 and 10 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 0.5 and 0.6 ms.
-A few runs start with a 1 - 1.5 ms RTT spike (This could be because of normal ARP
-handling). One test run has a greater RTT spike of 1.9 ms, which is the same
-one with the 0.7 ms average. The other runs have no similar spike at all.
-To be able to draw conclusions more runs should be made.
-SLA set to 10 ms. The SLA value is used as a reference, it has not
-been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth looks similar between different dates, with an
-average between approx. 170 and 200 MB/s. Within each test run the results
-vary, with a minimum 2 MB/s and maximum 838 MB/s on the totality. Most runs
-have a minimum BW of 3 MB/s (two runs at 2 MB/s). The maximum BW varies more in
-absolute numbers between the dates, between 617 and 838 MB/s.
-SLA set to 400 MB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC010
------
-The measurements for memory latency are similar between test dates and result
-in approx. 1.2 ns. The variations within each test run are similar, between
-1.215 and 1.219 ns. One exception is February 16, where the average is 1.222
-and varies between 1.22 and 1.28 ns.
-SLA set to 30 ns. The SLA value is used as a reference, it has not been defined
-by OPNFV.
-
-TC011
------
-Packet delay variation between 2 VMs on different blades is measured using
-Iperf3. On the first date the reported packet delay variation varies between
-0.0025 and 0.011 ms, with an average delay variation of 0.0067 ms.
-On the second date the delay variation varies between 0.002 and 0.006 ms, with
-an average delay variation of 0.004 ms.
-
-TC012
------
-Between test dates, the average measurements for memory bandwidth vary between
-17.4 and 17.9 GB/s. Within each test run the results vary more, with a minimal
-BW of 16.4 GB/s and maximum of 18.2 GB/s on the totality.
-SLA set to 15 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC014
------
-The Unixbench processor test run results vary between scores 3080 and 3240,
-one result each date. The average score on the total is 3150.
-No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-CPU utilization statistics are collected during UDP flows sent between the VMs
-using pktgen as packet generator tool. The average measurements for CPU
-utilization ratio vary between 1% to 2%. The peak of CPU utilization ratio
-appears around 7%.
-
-TC069
------
-Between test dates, the average measurements for memory bandwidth vary between
-15.5 and 25.4 GB/s. Within each test run the results vary more, with a minimal
-BW of 9.7 GB/s and maximum of 29.5 GB/s on the totality.
-SLA set to 6 GB/s. The SLA value is used as a reference, it has not been
-defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Memory utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for memory
-utilization vary between 225MB to 246MB. The peak of memory utilization appears
-around 340MB.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Cache utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The average measurements for cache
-utilization vary between 205MB to 212MB.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs at
-approx. 15 ms. Some test runs show an increase with many flows, in the range
-towards 16 to 17 ms. One exception standing out is Feb. 15 where the average
-RTT is stable at approx. 13 ms. The PPS results are not as consistent as the
-RTT results.
-In some test runs when running with less than approx. 10000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. Around 20 percent decrease in the worst
-case. For the other test runs there is however no significant change to the PPS
-throughput when the number of flows are increased. In some test runs the PPS
-is also greater with 1000000 flows compared to other test runs where the PPS
-result is less with only 2 flows.
-
-The average PPS throughput in the different runs varies between 414000 and
-452000 PPS. The total amount of packets in each test run is approx. 7500000 to
-8200000 packets. One test run Feb. 15 sticks out with a PPS average of
-558000 and approx. 1100000 packets in total (same as the on mentioned earlier
-for RTT results).
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally range between 100 and 1000 per test run,
-but there are spikes in the range of 10000 lost packets as well, and even
-more in a rare cases.
-
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. Total number of packets received per
-second was average on 200 kpps and total number of packets transmitted per
-second was average on 600 kpps.
-
-Detailed test results
----------------------
-The scenario was run on Ericsson POD2_ and LF POD2_ with:
-Fuel 9.0
-OpenStack Mitaka
-Onos Goldeneye
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
-Conclusions and recommendations
--------------------------------
-The pktgen test configuration has a relatively large base effect on RTT in
-TC037 compared to TC002, where there is no background load at all. Approx.
-15 ms compared to approx. 0.5 ms, which is more than a 3000 percentage
-difference in RTT results.
-Especially RTT and throughput come out with better results than for instance
-the *fuel-os-nosdn-nofeature-ha* scenario does. The reason for this should
-probably be further analyzed and understood. Also of interest could be
-to make further analyzes to find patterns and reasons for lost traffic.
-Also of interest could be to see if there are continuous variations where
-some test cases stand out with better or worse results than the general test
-case.
-
-
-Joid
-=====
-
-.. _Grafana: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
-.. _POD6: https://wiki.opnfv.org/pharos?&#community_test_labs
-
-Overview of test results
-------------------------
-
-See Grafana_ for viewing test result metrics for each respective test case. It
-is possible to chose which specific scenarios to look at, and then to zoom in
-on the details of each run test scenario as well.
-
-All of the test case results below are based on 4 scenario test runs, each run
-on the Intel POD6_ between September 8 and 11 in 2016.
-
-TC002
------
-The round-trip-time (RTT) between 2 VMs on different blades is measured using
-ping. Most test run measurements result on average between 1.35 ms and 1.57 ms.
-Only one test run has reached greatest RTT spike of 2.58 ms. Meanwhile, the
-smallest network latency is 1.11 ms, which is obtained on Sep. 11st. In
-general, the average of network latency of the four test runs are between 1.35
-ms and 1.57 ms. SLA set to be 10 ms. The SLA value is used as a reference, it
-has not been defined by OPNFV.
-
-TC005
------
-The IO read bandwidth actually refers to the storage throughput, which is
-measured by fio and the greatest IO read bandwidth of the four runs is 175.4
-MB/s. The IO read bandwidth of the three runs looks similar, with an average
-between 43.7 and 56.3 MB/s, except one on Sep. 8, for its maximum storage
-throughput is only 107.9 MB/s. One of the runs has a minimum BW of 478 KM/s and
-other has a maximum BW of 168.6 MB/s. The SLA of read bandwidth sets to be
-400 MB/s, which is used as a reference, and it has not been defined by OPNFV.
-
-The results of storage IOPS for the four runs look similar with each other. The
-IO read times per second of the four test runs have an average value between
-978 per second and 1.20 K/s, and meanwhile, the minimum result is only 36 times
-per second.
-
-TC010
------
-The tool we use to measure memory read latency is lmbench, which is a series of
-micro benchmarks intended to measure basic operating system and hardware system
-metrics. The memory read latency of the four runs is between 1.164 ns and 1.244
-ns on average. The variations within each test run are quite different, some
-vary from a large range and others have a small change. For example, the
-largest change is on September 10, the memory read latency of which is ranging
-from 1.128 ns to 1.381 ns. However, the results on September 11 change very
-little. The SLA sets to be 30 ns. The SLA value is used as a reference, it has
-not been defined by OPNFV.
-
-TC011
------
-Iperf3 is a tool for evaluating the packet delay variation between 2 VMs on
-different blades. The reported packet delay variations of the four test runs
-differ from each other. In general, the packet delay of two runs look similar,
-for they both stay stable within each run. And the mean packet delay of them
-are 0.0772 ms and 0.0788 ms respectively. Of the four runs, the fourth has the
-worst result, because the packet delay reaches 0.0838 ms. The rest one has a
-large wide range from 0.0666 ms to 0.0798 ms. The SLA value sets to be 10 ms.
-The SLA value is used as a reference, it has not been defined by OPNFV.
-
-TC012
------
-Lmbench is also used to measure the memory read and write bandwidth, in which
-we use bw_mem to obtain the results. Among the four test runs, the trend of the
-memory bandwidth almost look similar, which all have a large wide range, and
-the minimum and maximum results are 9.02 GB/s and 18.14 GB/s. Here SLA set to
-be 15 GB/s. The SLA value is used as a reference, it has not been defined by
-OPNFV.
-
-TC014
------
-The Unixbench is used to evaluate the IaaS processing speed with regards to
-score of single cpu running and parallel running. It can be seen from the
-dashboard that the processing test results vary from scores 3395 to 3475, and
-there is only one result one date. No SLA set.
-
-TC037
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The mean packet throughput of the four test runs is between 362.1 kpps and
-363.5 kpps, of which the result of the third run is the highest. The RTT
-results of all the test runs keep flat at approx. 17 ms. It is obvious that the
-PPS results are not as consistent as the RTT results.
-
-The No. flows of the four test runs are 240 k on average and the PPS results
-look a little waved since the largest packet throughput is 418.1 kpps and the
-minimum throughput is 326.5 kpps respectively.
-
-There are no errors of packets received in the four runs, but there are still
-lost packets in all the test runs. The RTT values obtained by ping of the four
-runs have the similar average vaue, that is approx. 17 ms, of which the worst
-RTT is 39 ms on Sep. 11st.
-
-CPU load is measured by mpstat, and CPU load of the four test runs seem a
-little similar, since the minimum value and the peak of CPU load is between 0
-percent and nine percent respectively. And the best result is obtained on Sep.
-10, with an CPU load of nine percent.
-
-TC069
------
-With the block size changing from 1 kb to 512 kb, the memory write bandwidth
-tends to become larger first and then smaller within every run test, which
-rangs from 25.9 GB/s to 26.6 GB/s and then to 18.1 GB/s on average. Since the
-test id is one, it is that only the INT memory write bandwidth is tested. On
-the whole, when the block size is from 2 kb to 16 kb, the memory write
-bandwidth look similar with a minimal BW of 22.1 GB/s and peak value of 28.6
-GB/s. And then with the block size becoming larger, the memory write bandwidth
-tends to decrease. SLA sets to be 7 GB/s. The SLA value is used as a reference,
-it has not been defined by OPNFV.
-
-TC070
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other, and within these test runs, the maximum RTT can
-reach 39 ms and the average RTT is usually approx. 17 ms. The network latency
-tested on Sep. 11 shows that it has a peak latency of 39 ms. But on the whole,
-the average RTTs of the five runs keep flat and the network latency is
-relatively short.
-
-Memory utilization is measured by free, which can display amount of free and
-used memory in the system. The largest amount of used memory is 270 MiB on the
-first two runs. In general, the mean used memory of two test runs have very
-large memory utilization, which can reach 264 MiB on average. And the other two
-runs have a large wide range of memory usage with the minimum value of 150 MiB
-and the maximum value of 270 MiB. On the other hand, for the mean free memory,
-the four test runs have the similar trend with that of the mean used memory.
-In general, the mean free memory change from 220 MiB to 342 MiB.
-
-Packet throughput and packet loss can be measured by pktgen, which is a tool
-in the network for generating traffic loads for network experiments. The mean
-packet throughput of the four test runs seem quite different, ranging from
-326.5 kpps to 418.1 kpps. The average number of flows in these tests is
-240000, and each run has a minimum number of flows of 2 and a maximum number
-of flows of 1.001 Mil. At the same time, the corresponding packet throughput
-differ between 326.5 kpps and 418.1 kpps with an average packet throughput between
-361.7 kpps and 363.5 kpps. In summary, the PPS results seem consistent. Within each
-test run of the four runs, when number of flows becomes larger, the packet
-throughput seems not larger at the same time.
-
-TC071
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The network latency is measured by ping, and the results of the four test runs
-look similar with each other. Within each test run, the maximum RTT is only 47
-ms and the average RTT is usually approx. 15 ms. On the whole, the average
-RTTs of the four runs keep stable and the network latency is relatively small.
-
-Cache utilization is measured by cachestat, which can display size of cache and
-buffer in the system. Cache utilization statistics are collected during UDP
-flows sent between the VMs using pktgen as packet generator tool. The largest
-cache size is 214 MiB, which is same for the four runs, and the smallest cache
-size is 94 MiB. On the whole, the average cache size of the four runs look the
-same and is between 198 MiB and 207 MiB. Meanwhile, the tread of the buffer
-size keep flat, since they have a minimum value of 7 MiB and a maximum value of
-8 MiB, with an average value of about 7.9 MiB.
-
-Packet throughput can be measured by pktgen, which is a tool in the network for
-generating traffic loads for network experiments. The mean packet throughput of
-the four test runs seem quite the same, which is approx. 363 kpps. The average
-number of flows in these tests is 240k, and each run has a minimum number of
-flows of 2 and a maximum number of flows of 1.001 Mil. At the same time, the
-corresponding packet throughput differ between 327 kpps and 418 kpps with an
-average packet throughput of about 363 kpps. Within each test run of the four
-runs, when number of flows becomes larger, the packet throughput seems not
-larger in the meantime.
-
-TC072
------
-The amount of packets per second (PPS) and round trip times (RTT) between 2 VMs
-on different blades are measured when increasing the amount of UDP flows sent
-between the VMs using pktgen as packet generator tool.
-
-Round trip times and packet throughput between VMs can typically be affected by
-the amount of flows set up and result in higher RTT and less PPS throughput.
-
-The RTT results are similar throughout the different test dates and runs
-between 0 ms and 47 ms with an average leatency of less than 16 ms. The PPS
-results are not as consistent as the RTT results, for the mean packet
-throughput of the four runs differ from 361.7 kpps to 365.0 kpps.
-
-Network utilization is measured by sar, that is system activity reporter, which
-can display the average statistics for the time since the system was started.
-Network utilization statistics are collected during UDP flows sent between the
-VMs using pktgen as packet generator tool. The largest total number of packets
-transmitted per second look similar for two test runs, whose values change a
-lot from 10 pps to 432 kpps. While results of the other test runs seem the same
-and keep stable with the average number of packets transmitted per second of 10
-pps. However, the total number of packets received per second of the four runs
-look similar, which have a large wide range of 2 pps to 657 kpps.
-
-In some test runs when running with less than approx. 250000 flows the PPS
-throughput is normally flatter compared to when running with more flows, after
-which the PPS throughput decreases. For the other test runs there is however no
-significant change to the PPS throughput when the number of flows are
-increased. In some test runs the PPS is also greater with 250000 flows
-compared to other test runs where the PPS result is less with only 2 flows.
-
-There are lost packets reported in most of the test runs. There is no observed
-correlation between the amount of flows and the amount of lost packets.
-The lost amount of packets normally differs a lot per test run.
-
-Detailed test results
----------------------
-The scenario was run on Intel POD6_ with:
-Joid
-OpenStack Mitaka
-Onos Goldeneye
-OpenVirtualSwitch 2.5.90
-OpenDayLight Beryllium
-
-Rationale for decisions
------------------------
-Pass
-
-Conclusions and recommendations
--------------------------------
-Tests were successfully executed and metrics collected.
-No SLA was verified. To be decided on in next release of OPNFV.
-
diff --git a/docs/release/results/overview.rst b/docs/release/results/overview.rst
index b4a050545..9fd74797c 100644
--- a/docs/release/results/overview.rst
+++ b/docs/release/results/overview.rst
@@ -42,55 +42,31 @@ environment, features or test framework.
The list of scenarios supported by each installer can be described as follows:
-+-------------------------+---------+---------+---------+---------+
-| Scenario | Apex | Compass | Fuel | Joid |
-+=========================+=========+=========+=========+=========+
-| os-nosdn-nofeature-noha | | | X | X |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-nofeature-ha | X | X | X | X |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-nofeature-ha | X | X | X | X |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-nofeature-noha| | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l3-nofeature-ha | X | X | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l3-nofeature-noha| | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-onos-sfc-ha | X | X | X | X |
-+-------------------------+---------+---------+---------+---------+
-| os-onos-sfc-noha | | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-onos-nofeature-ha | X | X | X | X |
-+-------------------------+---------+---------+---------+---------+
-| os-onos-nofeature-noha | | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-sfc-ha | | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-sfc-noha | X | X | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-bgpvpn-ha | X | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-bgpvpn-noha | | X | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-kvm-ha | | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-kvm-noha | | X | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-ovs-ha | | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-ovs-noha | X | | X | |
-+-------------------------+---------+---------+---------+---------+
-| os-ocl-nofeature-ha | | | | |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-lxd-ha | | | | X |
-+-------------------------+---------+---------+---------+---------+
-| os-nosdn-lxd-noha | | | | X |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-fdio-noha | X | | | |
-+-------------------------+---------+---------+---------+---------+
-| os-odl_l2-moon-ha | | X | | |
-+-------------------------+---------+---------+---------+---------+
++-------------------------+------+---------+----------+------+------+-------+
+| Scenario | Apex | Compass | Fuel-arm | Fuel | Joid | Daisy |
++=========================+======+=========+==========+======+======+=======+
+| os-nosdn-nofeature-noha | X | | | | X | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-nofeature-ha | X | | X | X | X | X |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-bar-noha | X | | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-bar-ha | X | | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-odl-bgpvpn-ha | X | | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-calipso-noha | X | | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-kvm-ha | | X | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-odl_l3-nofeature-ha | | X | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-odl-sfc-ha | | X | | | | |
++-------------------------+------+---------+----------+------+------+-------+
+| os-odl-nofeature-ha | | | | X | | X |
++-------------------------+------+---------+----------+------+------+-------+
+| os-nosdn-ovs-ha | | | | X | | |
++-------------------------+------+---------+----------+------+------+-------+
To qualify for release, the scenarios must have deployed and been successfully
tested in four consecutive installations to establish stability of deployment
@@ -103,4 +79,4 @@ References
* IEEE Std 829-2008. "Standard for Software and System Test Documentation".
-* OPNFV Colorado release note for Yardstick.
+* OPNFV Fraser release note for Yardstick.
diff --git a/docs/release/results/results.rst b/docs/release/results/results.rst
index 04c6b9f87..c75f5ae94 100644
--- a/docs/release/results/results.rst
+++ b/docs/release/results/results.rst
@@ -2,13 +2,16 @@
.. License.
.. http://creativecommons.org/licenses/by/4.0
-Results listed by scenario
+Results listed by test cases
==========================
-The following sections describe the yardstick results as evaluated for the
-Colorado release scenario validation runs. Each section describes the
-determined state of the specific scenario as deployed in the Colorado
-release process.
+.. _TOM: https://wiki.opnfv.org/display/testing/R+post-processing+of+the+Yardstick+results
+
+
+The following sections describe the yardstick test case results as evaluated
+for the OPNFV Fraser release scenario validation runs. Each section describes
+the determined state of the specific test case as executed in the Fraser release
+process. All test date are analyzed using TOM_ tool.
Scenario Results
================
@@ -16,21 +19,22 @@ Scenario Results
.. _Dashboard: http://testresults.opnfv.org/grafana/dashboard/db/yardstick-main
.. _Jenkins: https://build.opnfv.org/ci/view/yardstick/
+
The following documents contain results of Yardstick test cases executed on
-OPNFV labs, triggered by OPNFV CI pipeline, documented per scenario.
+OPNFV labs, triggered by OPNFV CI pipeline, documented per test case.
.. toctree::
:maxdepth: 1
- os-nosdn-nofeature-ha.rst
- os-nosdn-nofeature-noha.rst
- os-odl_l2-nofeature-ha.rst
- os-odl_l2-bgpvpn-ha.rst
- os-odl_l2-sfc-ha.rst
- os-nosdn-kvm-ha.rst
- os-onos-nofeature-ha.rst
- os-onos-sfc-ha.rst
+ tc002-network-latency.rst
+ tc010-memory-read-latency.rst
+ tc011-packet-delay-variation.rst
+ tc012-memory-read-write-bandwidth.rst
+ tc014-cpu-processing-speed.rst
+ tc069-memory-write-bandwidth.rst
+ tc082-context-switches-under-load.rst
+ tc083-network-throughput-between-vm.rst
Test results of executed tests are avilable in Dashboard_ and logs in Jenkins_.
diff --git a/docs/release/results/tc002-network-latency.rst b/docs/release/results/tc002-network-latency.rst
new file mode 100644
index 000000000..722423473
--- /dev/null
+++ b/docs/release/results/tc002-network-latency.rst
@@ -0,0 +1,317 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+======================================
+Test results for TC002 network latency
+======================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC002 verifies that network latency is within acceptable boundaries when packets travel between hosts located on same or different compute blades.
+Ping packets (ICMP protocol's mandatory ECHO_REQUEST datagram) are sent from host VM to target VM(s) to elicit ICMP ECHO_RESPONSE.
+
+Metric: RTT (Round Trip Time)
+Unit: ms
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (lower is better):
+
+{
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [0.214],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [0.309],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [0.3145],
+
+ "os-nosdn-ovs-ha:lf-pod2:fuel": [0.3585],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [0.3765],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [0.403],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [0.413],
+
+ "os-nosdn-ovs-ha:ericsson-pod1:fuel": [0.494],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [0.5715],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [0.5785],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [0.617],
+
+ "os-odl-nofeature-ha:lf-pod1:apex": [0.62],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [0.632],
+
+ "os-odl-nofeature-noha:lf-pod1:apex": [0.635],
+
+ "os-odl-bgpvpn-ha:lf-pod1:apex": [0.658],
+
+ "os-odl-sfc-noha:lf-pod1:apex": [0.663],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [0.668],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [0.668],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [0.6815],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [0.7005],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [0.778],
+
+ "os-nosdn-ovs-noha:ericsson-virtual4:fuel": [0.7825],
+
+ "os-nosdn-ovs-noha:ericsson-virtual2:fuel": [0.7885],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [0.795],
+
+ "os-nosdn-ovs-noha:ericsson-virtual1:fuel": [0.8045],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [0.8335],
+
+ "os-nosdn-ovs-noha:ericsson-virtual3:fuel": [0.8755],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [0.8855],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [0.8895],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [0.901],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [0.956],
+
+ "os-nosdn-lxd-noha:intel-pod5:joid": [1.131],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [1.173],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [1.2015],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [1.204],
+
+ "os-nosdn-lxd-ha:intel-pod5:joid": [1.2245],
+
+ "os-odl-nofeature-ha:lf-pod2:fuel": [1.2285],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [1.3055],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [1.309],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [1.313],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [1.319],
+
+ "os-odl-nofeature-ha:ericsson-pod1:fuel": [1.3425],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [1.3475],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [1.348],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [1.432],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual9:compass": [1.442],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [1.4505],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [1.497],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [1.504],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [1.519],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [1.5415],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [1.5785],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [1.604],
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [1.61],
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [1.633],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [1.6485],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [1.7085],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [1.71],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [1.7955],
+
+ "os-odl-nofeature-ha:arm-pod6:fuel": [1.838],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [1.88],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [1.8975],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [1.923],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [1.944],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [1.968],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [1.986],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [2.0415],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [2.071],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [2.0855],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [2.1085],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [2.1135],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [2.234],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [2.294],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [2.304],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [2.378],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [2.397],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [2.472],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [2.603],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [2.635],
+
+ "os-odl-nofeature-noha:ericsson-virtual3:fuel": [2.9055],
+
+ "os-odl-nofeature-noha:ericsson-virtual2:fuel": [3.1295],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [3.337],
+
+ "os-odl-nofeature-noha:ericsson-virtual4:fuel": [3.634],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual1:fuel": [3.875],
+
+ "os-odl-nofeature-noha:ericsson-virtual1:fuel": [3.9655],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [3.9795]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc002_scenario.png
+ :width: 800px
+ :alt: TC002 influence of scenario
+
+{
+
+ "os-odl_l2-moon-ha": [0.3415],
+
+ "os-nosdn-ovs-ha": [0.3625],
+
+ "os-nosdn-ovs_dpdk-noha": [0.378],
+
+ "os-nosdn-ovs_dpdk-ha": [0.5265],
+
+ "os-nosdn-bar-noha": [0.632],
+
+ "os-odl-bgpvpn-ha": [0.658],
+
+ "os-ovn-nofeature-noha": [0.668],
+
+ "os-odl_l3-nofeature-ha": [0.8545],
+
+ "os-nosdn-ovs-noha": [0.8575],
+
+ "os-nosdn-bar-ha": [0.903],
+
+ "os-odl-sfc-ha": [1.127],
+
+ "os-nosdn-lxd-noha": [1.131],
+
+ "os-nosdn-nofeature-ha": [1.152],
+
+ "os-odl_l2-moon-noha": [1.1825],
+
+ "os-nosdn-lxd-ha": [1.2245],
+
+ "os-odl_l3-nofeature-noha": [1.337],
+
+ "os-odl-nofeature-ha": [1.352],
+
+ "os-odl-sfc-noha": [1.4255],
+
+ "os-nosdn-kvm-noha": [1.5045],
+
+ "os-nosdn-openbaton-ha": [1.5665],
+
+ "os-nosdn-nofeature-noha": [1.729],
+
+ "os-nosdn-kvm-ha": [1.7745],
+
+ "os-odl-nofeature-noha": [3.106]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc002_pod.png
+ :width: 800px
+ :alt: TC002 influence of the POD
+
+{
+
+ "huawei-pod2": [0.3925],
+
+ "lf-pod2": [0.5315],
+
+ "lf-pod1": [0.62],
+
+ "flex-pod2": [0.795],
+
+ "huawei-pod12": [0.87],
+
+ "intel-pod5": [1.25],
+
+ "ericsson-virtual3": [1.2655],
+
+ "ericsson-pod1": [1.372],
+
+ "arm-pod5": [1.518],
+
+ "huawei-virtual4": [1.5355],
+
+ "huawei-virtual3": [1.606],
+
+ "intel-pod18": [1.6575],
+
+ "huawei-virtual8": [1.709],
+
+ "huawei-virtual2": [1.872],
+
+ "arm-pod6": [1.895],
+
+ "huawei-virtual9": [2.0745],
+
+ "huawei-virtual1": [2.495],
+
+ "ericsson-virtual2": [2.7895],
+
+ "ericsson-virtual4": [3.768],
+
+ "ericsson-virtual1": [3.8035]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc010-memory-read-latency.rst b/docs/release/results/tc010-memory-read-latency.rst
new file mode 100644
index 000000000..9a296b7a0
--- /dev/null
+++ b/docs/release/results/tc010-memory-read-latency.rst
@@ -0,0 +1,299 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+==========================================
+Test results for TC010 memory read latency
+==========================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC010 measures the memory read latency for varying memory sizes and strides.
+The test results shown below are for memory size of 16MB.
+
+Metric: Memory read latency
+Unit: ns
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (lower is better):
+
+{
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [5.3165],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [5.908],
+
+ "os-nosdn-ovs-noha:ericsson-virtual1:fuel": [6.412],
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [6.545],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [6.592],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [6.5975],
+
+ "os-nosdn-ovs-ha:ericsson-pod1:fuel": [6.7675],
+
+ "os-odl-nofeature-ha:ericsson-pod1:fuel": [6.7675],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [6.7945],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [6.839],
+
+ "os-nosdn-ovs-noha:ericsson-virtual4:fuel": [6.9695],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [7.123],
+
+ "os-odl-nofeature-noha:ericsson-virtual4:fuel": [7.289],
+
+ "os-nosdn-ovs-noha:ericsson-virtual2:fuel": [7.4315],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [7.9],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [8.178],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [8.616],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [8.646],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [8.8615],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [8.87],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [8.877],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [8.892],
+
+ "os-nosdn-ovs-noha:ericsson-virtual3:fuel": [8.898],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [8.952],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [8.9745],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [9.0375],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [9.083],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [9.09],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [9.094],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [9.293],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [9.3525],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [9.477],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [9.5445],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [9.5575],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [9.6435],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [9.68],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [9.728],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [9.751],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [9.8645],
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [9.969],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [10.029],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [10.088],
+
+ "os-odl-nofeature-noha:ericsson-virtual2:fuel": [10.2985],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [10.318],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [10.3215],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [10.617],
+
+ "os-odl-nofeature-noha:ericsson-virtual3:fuel": [10.762],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [10.7715],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [10.866],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [10.871],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [11.1605],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [11.227],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [11.348],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [11.453],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [11.571],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [11.5925],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [11.689],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [11.8695],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [12.199],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [12.433],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [12.713],
+
+ "os-nosdn-ovs-ha:lf-pod2:fuel": [15.328],
+
+ "os-odl-nofeature-ha:lf-pod1:apex": [15.4265],
+
+ "os-odl-nofeature-noha:lf-pod1:apex": [15.428],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [15.545],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [15.55],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [15.6395],
+
+ "os-odl-sfc-noha:lf-pod1:apex": [15.696],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [15.774],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [16.6455],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [16.861],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [18.071],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [18.116],
+
+ "os-odl-nofeature-ha:lf-pod2:fuel": [18.8365],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [18.927],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [29.557],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [32.492],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [37.623],
+
+ "os-odl-nofeature-ha:arm-pod6:fuel": [41.345],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [42.3795],
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc010_scenario.png
+ :width: 800px
+ :alt: TC010 influence of scenario
+
+{
+
+ "os-nosdn-ovs-noha": [7.9],
+
+ "os-nosdn-ovs_dpdk-noha": [8.641],
+
+ "os-nosdn-ovs_dpdk-ha": [8.6815],
+
+ "os-nosdn-openbaton-ha": [8.882],
+
+ "os-odl_l2-moon-ha": [8.948],
+
+ "os-odl_l3-nofeature-ha": [8.992],
+
+ "os-nosdn-nofeature-ha": [9.118],
+
+ "os-nosdn-nofeature-noha": [9.174],
+
+ "os-odl_l2-moon-noha": [9.312],
+
+ "os-odl_l3-nofeature-noha": [9.5535],
+
+ "os-odl-nofeature-noha": [9.673],
+
+ "os-odl-sfc-noha": [9.8385],
+
+ "os-odl-sfc-ha": [9.98],
+
+ "os-nosdn-kvm-noha": [10.088],
+
+ "os-nosdn-kvm-ha": [11.1705],
+
+ "os-nosdn-bar-ha": [12.1395],
+
+ "os-nosdn-ovs-ha": [15.3195],
+
+ "os-ovn-nofeature-noha": [15.545],
+
+ "os-odl-nofeature-ha": [16.301],
+
+ "os-nosdn-bar-noha": [16.861]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc010_pod.png
+ :width: 800px
+ :alt: TC010 influence of the POD
+
+{
+
+ "ericsson-pod1": [5.7785],
+
+ "flex-pod2": [5.908],
+
+ "ericsson-virtual1": [6.412],
+
+ "intel-pod18": [6.5905],
+
+ "intel-pod5": [6.6975],
+
+ "ericsson-virtual4": [7.183],
+
+ "ericsson-virtual2": [8.4985],
+
+ "huawei-pod2": [8.877],
+
+ "huawei-pod12": [9.091],
+
+ "ericsson-virtual3": [9.719],
+
+ "huawei-virtual4": [10.1195],
+
+ "huawei-virtual3": [10.19],
+
+ "huawei-virtual1": [10.3045],
+
+ "huawei-virtual9": [10.318],
+
+ "huawei-virtual2": [11.274],
+
+ "lf-pod1": [15.7025],
+
+ "lf-pod2": [15.8495],
+
+ "arm-pod5": [18.092],
+
+ "huawei-virtual8": [33.999],
+
+ "arm-pod6": [41.5605]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc011-packet-delay-variation.rst b/docs/release/results/tc011-packet-delay-variation.rst
new file mode 100644
index 000000000..b07ea8980
--- /dev/null
+++ b/docs/release/results/tc011-packet-delay-variation.rst
@@ -0,0 +1,262 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+=============================================
+Test results for TC011 packet delay variation
+=============================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC011 measures the packet delay variation sending the packets from one VM to the other.
+
+Metric: packet delay variation (jitter)
+Unit: ms
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (lower is better):
+
+{
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [2996],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [2996],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [2996],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [2996],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [2997],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [2997],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [2997],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [2997],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [2997],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [2997.5],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [2998],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [2998],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [2999],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [2999.5],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [3000],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [3001],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [3002],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [3002],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [3002],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [3002],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [3003],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [3003.5],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [3004],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [3004],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [3004.5],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [3005],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [3006],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [3006.5],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [3009],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [3010],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [3010],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [3012],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [3017],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [3017],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [3017],
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [3018],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [3020],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [3021],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [3022],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [3022],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [3022],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [3022],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [3022],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [3022],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [3022],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [3022],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [3022],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [3022],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [3022],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [3022],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [3022],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [3022],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [3022],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [3022],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [3022],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [3022],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [3022],
+
+ "os-odl-sfc-noha:lf-pod1:apex": [3022],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [3022],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [3022],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [3022],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [3022],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [3022],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [3023],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [3023],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [3024]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc011_scenario.png
+ :width: 800px
+ :alt: TC011 influence of scenario
+
+{
+
+ "os-nosdn-ovs_dpdk-noha": [2996],
+
+ "os-odl_l3-nofeature-noha": [2997],
+
+ "os-nosdn-kvm-noha": [2999],
+
+ "os-nosdn-ovs_dpdk-ha": [3002],
+
+ "os-nosdn-kvm-ha": [3014.5],
+
+ "os-odl-sfc-noha": [3018],
+
+ "os-nosdn-nofeature-noha": [3020],
+
+ "os-nosdn-openbaton-ha": [3020],
+
+ "os-nosdn-bar-ha": [3022],
+
+ "os-nosdn-bar-noha": [3022],
+
+ "os-nosdn-nofeature-ha": [3022],
+
+ "os-odl-nofeature-ha": [3022],
+
+ "os-odl-sfc-ha": [3022],
+
+ "os-odl_l2-moon-ha": [3022],
+
+ "os-odl_l2-moon-noha": [3022],
+
+ "os-odl_l3-nofeature-ha": [3022],
+
+ "os-ovn-nofeature-noha": [3022]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc011_pod.png
+ :width: 800px
+ :alt: TC011 influence of the POD
+
+{
+
+ "huawei-virtual2": [2997],
+
+ "flex-pod2": [2997.5],
+
+ "huawei-virtual3": [2998],
+
+ "huawei-virtual9": [3000],
+
+ "huawei-virtual8": [3001],
+
+ "huawei-virtual4": [3002],
+
+ "ericsson-virtual3": [3006],
+
+ "huawei-virtual1": [3007],
+
+ "ericsson-virtual2": [3009],
+
+ "intel-pod18": [3010],
+
+ "ericsson-virtual4": [3017],
+
+ "lf-pod2": [3021],
+
+ "arm-pod5": [3022],
+
+ "arm-pod6": [3022],
+
+ "ericsson-pod1": [3022],
+
+ "huawei-pod12": [3022],
+
+ "huawei-pod2": [3022],
+
+ "intel-pod5": [3022],
+
+ "lf-pod1": [3022]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc012-memory-read-write-bandwidth.rst b/docs/release/results/tc012-memory-read-write-bandwidth.rst
new file mode 100644
index 000000000..c28eb1f3c
--- /dev/null
+++ b/docs/release/results/tc012-memory-read-write-bandwidth.rst
@@ -0,0 +1,299 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+==================================================
+Test results for TC012 memory read/write bandwidth
+==================================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC012 measures the rate at which data can be read from and written to the memory (this includes all levels of memory).
+In this test case, the bandwidth to read data from memory and then write data to the same memory location are measured.
+
+Metric: memory bandwidth
+Unit: MBps
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (higher is better):
+
+{
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [23126.325],
+
+ "os-odl-nofeature-noha:lf-pod1:apex": [23123.975],
+
+ "os-odl-nofeature-ha:lf-pod1:apex": [23068.965],
+
+ "os-odl-nofeature-ha:lf-pod2:fuel": [22972.46],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [22912.015],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [22911.35],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [22900.93],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [22767.56],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [22721.83],
+
+ "os-odl-sfc-noha:lf-pod1:apex": [22511.565],
+
+ "os-nosdn-ovs-ha:lf-pod2:fuel": [22071.235],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [21646.415],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [20229.99],
+
+ "os-nosdn-ovs-noha:ericsson-virtual4:fuel": [17491.18],
+
+ "os-nosdn-ovs-noha:ericsson-virtual1:fuel": [17474.965],
+
+ "os-nosdn-ovs-ha:ericsson-pod1:fuel": [17141.375],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [17134.99],
+
+ "os-odl-nofeature-ha:ericsson-pod1:fuel": [17124.27],
+
+ "os-nosdn-ovs-noha:ericsson-virtual2:fuel": [16599.325],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [16309.13],
+
+ "os-odl-nofeature-noha:ericsson-virtual4:fuel": [16137.48],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [15960.76],
+
+ "os-nosdn-ovs-noha:ericsson-virtual3:fuel": [15685.505],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [15536.65],
+
+ "os-odl-nofeature-noha:ericsson-virtual3:fuel": [15431.795],
+
+ "os-odl-nofeature-noha:ericsson-virtual2:fuel": [15129.27],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [15125.51],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [15030.65],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [15019.89],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [15005.11],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [14975.645],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [14968.97],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [14968.97],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [14741.425],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [14714.28],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [14674.38],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [14664.12],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [14587.62],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [14539.94],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [14534.54],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [14511.925],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [14496.875],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [14378.87],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [14366.69],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [14356.695],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [14341.605],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [14327.78],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [14313.81],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [14284.365],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [14157.99],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [14144.86],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [14138.9],
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [14117.7],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [14097.255],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [14085.675],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [14071.605],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [14059.51],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [14057.155],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [14051.945],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [14020.74],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [14017.915],
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [13954.27],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [13915.87],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [13874.59],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [13812.215],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [13777.59],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [13765.36],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [13559.905],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [13477.52],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [13255.17],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [13189.64],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [12718.545],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [12559.445],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [12409.66],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [8832.515],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [8823.955],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [4398.08],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [4375.75],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [4260.77],
+
+ "os-odl-nofeature-ha:arm-pod6:fuel": [4259.62]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc012_scenario.png
+ :width: 800px
+ :alt: TC012 influence of scenario
+
+{
+
+ "os-ovn-nofeature-noha": [22900.93],
+
+ "os-nosdn-bar-noha": [22721.83],
+
+ "os-nosdn-ovs-ha": [22063.67],
+
+ "os-odl-nofeature-ha": [17146.05],
+
+ "os-odl-nofeature-noha": [16017.41],
+
+ "os-nosdn-ovs-noha": [16005.74],
+
+ "os-nosdn-nofeature-noha": [15290.94],
+
+ "os-nosdn-nofeature-ha": [15038.74],
+
+ "os-nosdn-bar-ha": [14972.975],
+
+ "os-odl_l2-moon-ha": [14956.955],
+
+ "os-odl_l3-nofeature-ha": [14839.21],
+
+ "os-odl-sfc-ha": [14823.48],
+
+ "os-nosdn-ovs_dpdk-ha": [14822.17],
+
+ "os-nosdn-ovs_dpdk-noha": [14725.9],
+
+ "os-odl_l2-moon-noha": [14665.4],
+
+ "os-odl_l3-nofeature-noha": [14483.09],
+
+ "os-odl-sfc-noha": [14373.21],
+
+ "os-nosdn-openbaton-ha": [14135.325],
+
+ "os-nosdn-kvm-noha": [14020.26],
+
+ "os-nosdn-kvm-ha": [13996.02]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc012_pod.png
+ :width: 800px
+ :alt: TC012 influence of the POD
+
+{
+
+ "lf-pod1": [22912.39],
+
+ "lf-pod2": [22637.67],
+
+ "flex-pod2": [20229.99],
+
+ "ericsson-virtual1": [17474.965],
+
+ "ericsson-pod1": [17127.38],
+
+ "ericsson-virtual4": [16219.97],
+
+ "ericsson-virtual2": [15652.28],
+
+ "ericsson-virtual3": [15551.26],
+
+ "huawei-pod2": [15017.2],
+
+ "huawei-virtual4": [14266.34],
+
+ "huawei-virtual1": [14233.035],
+
+ "huawei-virtual3": [14227.63],
+
+ "huawei-pod12": [14147.245],
+
+ "intel-pod18": [14058.33],
+
+ "huawei-virtual2": [13862.85],
+
+ "intel-pod5": [13280.32],
+
+ "huawei-virtual9": [12559.445],
+
+ "huawei-virtual8": [8998.02],
+
+ "arm-pod5": [4388.875],
+
+ "arm-pod6": [4260.2]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc014-cpu-processing-speed.rst b/docs/release/results/tc014-cpu-processing-speed.rst
new file mode 100644
index 000000000..34d4ad0f9
--- /dev/null
+++ b/docs/release/results/tc014-cpu-processing-speed.rst
@@ -0,0 +1,298 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+===========================================
+Test results for TC014 cpu processing speed
+===========================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC014 measures score of single cpu running using UnixBench.
+
+Metric: score of single CPU running
+Unit: N/A
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (higher is better):
+
+{
+
+ "os-odl-sfc-noha:lf-pod1:apex": [3735.2],
+
+ "os-nosdn-ovs-ha:lf-pod2:fuel": [3725.5],
+
+ "os-odl-nofeature-ha:lf-pod2:fuel": [3711],
+
+ "os-odl-nofeature-ha:lf-pod1:apex": [3708.4],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [3705.7],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [3704],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [3703.2],
+
+ "os-odl-nofeature-noha:lf-pod1:apex": [3702.8],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [3698.7],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [3654.8],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [3635.55],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [3633.2],
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [3450.3],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [3406.4],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [3360.4],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [3340.65],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [3208.6],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [3134.8],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [3056.2],
+
+ "os-nosdn-ovs-noha:ericsson-virtual1:fuel": [2988.9],
+
+ "os-nosdn-ovs-ha:ericsson-pod1:fuel": [2773.7],
+
+ "os-nosdn-ovs-noha:ericsson-virtual4:fuel": [2645.85],
+
+ "os-nosdn-ovs-noha:ericsson-virtual2:fuel": [2625.3],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [2601.3],
+
+ "os-odl-nofeature-noha:ericsson-virtual4:fuel": [2590.4],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [2570.2],
+
+ "os-nosdn-ovs-noha:ericsson-virtual3:fuel": [2558.8],
+
+ "os-odl-nofeature-ha:ericsson-pod1:fuel": [2556.5],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [2554.6],
+
+ "os-odl-nofeature-noha:ericsson-virtual3:fuel": [2536.75],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [2533.55],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [2531.85],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [2531.7],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [2531.2],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [2531],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [2529.6],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [2520.5],
+
+ "os-odl-nofeature-noha:ericsson-virtual2:fuel": [2481.15],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [2474],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [2472.6],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [2471],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [2470.6],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [2464.15],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [2455.9],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [2455.3],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [2446.85],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [2444.75],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [2430.9],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [2421.3],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [2415.7],
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [2399.4],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [2391.85],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [2391.45],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [2380.7],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [2379.6],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [2371.9],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [2364.6],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [2363.4],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [2362],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [2358.5],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [2358.45],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [2336],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [2326.6],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [2324.95],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [2320.2],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [2318.5],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [2312.8],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [2311.7],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [2301.15],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [2297.7],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [2232.8],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [2232.1],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [2230],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [2154],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [2150.1],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [2004.3],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [1754.5],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [1754.15],
+
+ "os-odl-nofeature-ha:arm-pod6:fuel": [716.15],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [716.05]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc014_scenario.png
+ :width: 800px
+ :alt: TC014 influence of scenario
+
+{
+
+ "os-nosdn-ovs-ha": [3725.5],
+
+ "os-ovn-nofeature-noha": [3654.8],
+
+ "os-nosdn-bar-noha": [3633.2],
+
+ "os-odl-nofeature-ha": [3407.8],
+
+ "os-nosdn-ovs-noha": [2583.2],
+
+ "os-odl-nofeature-noha": [2578.9],
+
+ "os-nosdn-nofeature-noha": [2553.2],
+
+ "os-nosdn-nofeature-ha": [2532.8],
+
+ "os-odl_l2-moon-ha": [2530.5],
+
+ "os-nosdn-bar-ha": [2527],
+
+ "os-odl_l3-nofeature-ha": [2501.5],
+
+ "os-nosdn-ovs_dpdk-noha": [2473.65],
+
+ "os-odl-sfc-ha": [2472.9],
+
+ "os-odl_l2-moon-noha": [2470.8],
+
+ "os-nosdn-ovs_dpdk-ha": [2461.9],
+
+ "os-odl_l3-nofeature-noha": [2442.8],
+
+ "os-nosdn-kvm-noha": [2392.9],
+
+ "os-odl-sfc-noha": [2370.5],
+
+ "os-nosdn-kvm-ha": [2358.5],
+
+ "os-nosdn-openbaton-ha": [2231.8]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc014_pod.png
+ :width: 800px
+ :alt: TC014 influence of the POD
+
+{
+
+ "lf-pod2": [3723.95],
+
+ "lf-pod1": [3669],
+
+ "intel-pod5": [3388.6],
+
+ "intel-pod18": [3298.4],
+
+ "flex-pod2": [3208.6],
+
+ "ericsson-virtual1": [2988.9],
+
+ "ericsson-pod1": [2669.1],
+
+ "ericsson-virtual4": [2598.5],
+
+ "ericsson-virtual3": [2553.15],
+
+ "huawei-pod2": [2531.2],
+
+ "ericsson-virtual2": [2526.9],
+
+ "huawei-virtual4": [2407.4],
+
+ "huawei-virtual3": [2374.6],
+
+ "huawei-virtual2": [2326.4],
+
+ "huawei-virtual9": [2324.95],
+
+ "huawei-virtual1": [2302.6],
+
+ "huawei-pod12": [2232.2],
+
+ "huawei-virtual8": [2085.3],
+
+ "arm-pod5": [1754.4],
+
+ "arm-pod6": [716.15]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc069-memory-write-bandwidth.rst b/docs/release/results/tc069-memory-write-bandwidth.rst
new file mode 100644
index 000000000..06e2ec922
--- /dev/null
+++ b/docs/release/results/tc069-memory-write-bandwidth.rst
@@ -0,0 +1,300 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+=============================================
+Test results for TC069 memory write bandwidth
+=============================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC069 measures the maximum possible cache and memory performance while reading and writing certain
+blocks of data (starting from 1Kb and further in power of 2) continuously through ALU and FPU
+respectively. Measure different aspects of memory performance via synthetic simulations.
+Each simulation consists of four performances (Copy, Scale, Add, Triad).
+The test results shown below are for writing 32MB integer block size.
+
+Metric: memory write bandwidth
+Unit: MBps
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (higher is better):
+
+{
+
+ "os-nosdn-nofeature-noha:intel-pod18:joid": [20113.395],
+
+ "os-nosdn-openbaton-ha:intel-pod18:joid": [19183.58],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [17851.35],
+
+ "os-nosdn-nofeature-noha:intel-pod5:joid": [16312.37],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [15633.245],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [13332.065],
+
+ "os-odl-nofeature-ha:arm-pod6:fuel": [13327.02],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [9462.74],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [9384.585],
+
+ "os-odl-nofeature-ha:ericsson-pod1:fuel": [9235.98],
+
+ "os-nosdn-nofeature-noha:huawei-pod12:joid": [9213.6],
+
+ "os-nosdn-openbaton-ha:huawei-pod12:joid": [9152.18],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [9079.45],
+
+ "os-odl_l2-moon-ha:huawei-pod2:compass": [9071.13],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [9068.06],
+
+ "os-odl-sfc-ha:huawei-pod2:compass": [9031.24],
+
+ "os-odl_l3-nofeature-ha:huawei-pod2:compass": [9019.53],
+
+ "os-nosdn-bar-ha:huawei-pod2:compass": [8977.3],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-pod2:compass": [8960.635],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [8825.805],
+
+ "os-nosdn-kvm-ha:huawei-pod2:compass": [8282.75],
+
+ "os-odl_l2-moon-noha:huawei-virtual4:compass": [8116.33],
+
+ "os-nosdn-ovs-noha:ericsson-virtual4:fuel": [8083.97],
+
+ "os-odl_l2-moon-noha:huawei-virtual3:compass": [8083.52],
+
+ "os-nosdn-nofeature-noha:huawei-virtual3:compass": [7799.145],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual3:compass": [7776.12],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual3:compass": [7680.37],
+
+ "os-nosdn-ovs-noha:ericsson-virtual1:fuel": [7615.97],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual4:fuel": [7612.62],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual2:fuel": [7518.62],
+
+ "os-nosdn-nofeature-noha:huawei-virtual2:compass": [7489.67],
+
+ "os-nosdn-ovs-noha:ericsson-virtual2:fuel": [7478.57],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual4:compass": [7465.82],
+
+ "os-nosdn-kvm-noha:huawei-virtual3:compass": [7443.16],
+
+ "os-odl-nofeature-noha:ericsson-virtual4:fuel": [7442.855],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [7440.65],
+
+ "os-odl-sfc-noha:huawei-virtual4:compass": [7401.16],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [7389.505],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [7385.76],
+
+ "os-nosdn-nofeature-noha:huawei-virtual1:compass": [7382.345],
+
+ "os-odl_l2-moon-ha:huawei-virtual3:compass": [7286.385],
+
+ "os-odl_l3-nofeature-noha:huawei-virtual4:compass": [7272.06],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual4:compass": [7261.73],
+
+ "os-nosdn-nofeature-noha:ericsson-virtual3:fuel": [7253.64],
+
+ "os-odl-sfc-noha:huawei-virtual3:compass": [7247.89],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual2:compass": [7214.01],
+
+ "os-nosdn-ovs_dpdk-ha:huawei-virtual3:compass": [7207.39],
+
+ "os-nosdn-ovs_dpdk-noha:huawei-virtual4:compass": [7205.565],
+
+ "os-nosdn-ovs-noha:ericsson-virtual3:fuel": [7201.005],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [7132.835],
+
+ "os-odl-nofeature-noha:ericsson-virtual3:fuel": [7117.05],
+
+ "os-odl_l3-nofeature-ha:huawei-virtual3:compass": [7064.18],
+
+ "os-odl_l2-moon-ha:huawei-virtual4:compass": [6997.295],
+
+ "os-odl-nofeature-ha:lf-pod1:apex": [6992.21],
+
+ "os-odl-sfc-ha:huawei-virtual4:compass": [6975.63],
+
+ "os-odl-nofeature-noha:lf-pod1:apex": [6972.63],
+
+ "os-nosdn-nofeature-noha:lf-pod1:apex": [6955],
+
+ "os-ovn-nofeature-noha:lf-pod1:apex": [6954.5],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [6953.35],
+
+ "os-odl-sfc-noha:lf-pod1:apex": [6951.89],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [6932.29],
+
+ "os-nosdn-nofeature-noha:huawei-virtual4:compass": [6929.54],
+
+ "os-nosdn-kvm-noha:huawei-virtual4:compass": [6921.6],
+
+ "os-nosdn-ovs-ha:lf-pod2:fuel": [6913.355],
+
+ "os-odl-nofeature-ha:lf-pod2:fuel": [6848.58],
+
+ "os-odl-sfc-ha:lf-pod1:apex": [6818.74],
+
+ "os-nosdn-bar-noha:lf-pod1:apex": [6812.16],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [6808.18],
+
+ "os-odl-nofeature-noha:ericsson-virtual2:fuel": [6807.565],
+
+ "os-nosdn-bar-ha:lf-pod1:apex": [6774.76],
+
+ "os-nosdn-bar-ha:huawei-virtual4:compass": [6759.4],
+
+ "os-nosdn-nofeature-noha:huawei-virtual8:compass": [6756.9],
+
+ "os-nosdn-bar-ha:huawei-virtual3:compass": [6543.46],
+
+ "os-nosdn-kvm-ha:huawei-virtual3:compass": [6504.34],
+
+ "os-odl-sfc-ha:huawei-virtual3:compass": [6481.005],
+
+ "os-nosdn-kvm-ha:huawei-virtual4:compass": [6461.5],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [6152.375],
+
+ "os-odl-sfc-ha:huawei-virtual8:compass": [5941.7],
+
+ "os-nosdn-kvm-noha:huawei-virtual8:compass": [4564.515]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc069_scenario.png
+ :width: 800px
+ :alt: TC069 influence of scenario
+
+{
+
+ "os-nosdn-openbaton-ha": [9187.16],
+
+ "os-odl_l2-moon-ha": [9010.57],
+
+ "os-nosdn-nofeature-ha": [8886.75],
+
+ "os-odl_l3-nofeature-ha": [8779.67],
+
+ "os-odl_l2-moon-noha": [8114.995],
+
+ "os-nosdn-ovs_dpdk-ha": [7864.07],
+
+ "os-odl_l3-nofeature-noha": [7632.11],
+
+ "os-odl-sfc-ha": [7624.67],
+
+ "os-nosdn-nofeature-noha": [7470.66],
+
+ "os-odl-nofeature-ha": [7372.23],
+
+ "os-nosdn-ovs_dpdk-noha": [7311.54],
+
+ "os-odl-sfc-noha": [7300.56],
+
+ "os-nosdn-ovs-noha": [7280.005],
+
+ "os-odl-nofeature-noha": [7162.67],
+
+ "os-nosdn-kvm-ha": [7130.775],
+
+ "os-nosdn-kvm-noha": [7041.13],
+
+ "os-ovn-nofeature-noha": [6954.5],
+
+ "os-nosdn-ovs-ha": [6913.355],
+
+ "os-nosdn-bar-ha": [6829.17],
+
+ "os-nosdn-bar-noha": [6812.16]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc069_pod.png
+ :width: 800px
+ :alt: TC069 influence of the POD
+
+{
+
+ "intel-pod18": [18871.79],
+
+ "intel-pod5": [16055.79],
+
+ "arm-pod6": [13327.02],
+
+ "flex-pod2": [9384.585],
+
+ "ericsson-pod1": [9331.535],
+
+ "huawei-pod12": [9164.88],
+
+ "huawei-pod2": [9026.52],
+
+ "huawei-virtual9": [8825.805],
+
+ "ericsson-virtual1": [7615.97],
+
+ "ericsson-virtual4": [7539.23],
+
+ "arm-pod5": [7403.38],
+
+ "huawei-virtual3": [7247.89],
+
+ "huawei-virtual2": [7205.35],
+
+ "huawei-virtual1": [7196.405],
+
+ "ericsson-virtual3": [7173.72],
+
+ "huawei-virtual4": [7131.47],
+
+ "ericsson-virtual2": [7129.08],
+
+ "lf-pod1": [6928.18],
+
+ "lf-pod2": [6875.88],
+
+ "huawei-virtual8": [5729.705]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc082-context-switches-under-load.rst b/docs/release/results/tc082-context-switches-under-load.rst
new file mode 100644
index 000000000..d8a9f5493
--- /dev/null
+++ b/docs/release/results/tc082-context-switches-under-load.rst
@@ -0,0 +1,129 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+==================================================
+Test results for TC082 context switches under load
+==================================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC082 measures various software performance events using perf.
+The test results shown below are for context-switches.
+
+Metric: context switches
+Unit: N/A
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (lower is better):
+
+{
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [316],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [340],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [357.5],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [384],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [394.5],
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [435],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [476],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [518],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [863],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [871],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [1002],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [1174],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [1239],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [1430],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [1489],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [1883.5]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc082_scenario.png
+ :width: 800px
+ :alt: TC082 influence of scenario
+
+the influence of the scenario
+
+{
+
+ "os-nosdn-nofeature-ha": [505],
+
+ "os-odl-nofeature-ha": [863]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc082_pod.png
+ :width: 800px
+ :alt: TC082 influence of the POD
+
+the influence of the POD
+
+{
+
+ "huawei-pod12": [316],
+
+ "intel-pod18": [340],
+
+ "intel-pod5": [357.5],
+
+ "ericsson-pod1": [384],
+
+ "lf-pod2": [394.5],
+
+ "lf-pod1": [435],
+
+ "flex-pod2": [476],
+
+ "huawei-pod2": [518],
+
+ "arm-pod5": [869.5],
+
+ "huawei-virtual9": [1002],
+
+ "huawei-virtual4": [1174],
+
+ "huawei-virtual3": [1239],
+
+ "huawei-virtual2": [1430],
+
+ "huawei-virtual1": [1489],
+
+ "arm-pod6": [1883.5]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/release/results/tc083-network-throughput-between-vm.rst b/docs/release/results/tc083-network-throughput-between-vm.rst
new file mode 100644
index 000000000..f846571a5
--- /dev/null
+++ b/docs/release/results/tc083-network-throughput-between-vm.rst
@@ -0,0 +1,129 @@
+.. This work is licensed under a Creative Commons Attribution 4.0 International
+.. License.
+.. http://creativecommons.org/licenses/by/4.0
+
+
+=====================================================
+Test results for TC083 network throughput between VMs
+=====================================================
+
+.. toctree::
+ :maxdepth: 2
+
+
+Overview of test case
+=====================
+
+TC083 measures network latency and throughput between VMs using netperf.
+The test results shown below are for UDP throughout.
+
+Metric: UDP stream throughput
+Unit: 10^6bits/s
+
+
+Euphrates release
+-----------------
+
+Test results per scenario and pod (higher is better):
+
+{
+
+ "os-nosdn-nofeature-ha:lf-pod1:apex": [2204.42],
+
+ "os-nosdn-nofeature-ha:intel-pod18:joid": [1835.55],
+
+ "os-nosdn-nofeature-ha:lf-pod2:fuel": [1676.705],
+
+ "os-nosdn-nofeature-ha:intel-pod5:joid": [1612.555],
+
+ "os-nosdn-nofeature-ha:flex-pod2:apex": [1370.23],
+
+ "os-nosdn-nofeature-ha:huawei-pod12:joid": [1300.12],
+
+ "os-nosdn-nofeature-ha:huawei-pod2:compass": [1070.455],
+
+ "os-nosdn-nofeature-ha:ericsson-pod1:fuel": [1004.32],
+
+ "os-nosdn-nofeature-ha:huawei-virtual9:compass": [753.46],
+
+ "os-nosdn-nofeature-ha:huawei-virtual4:compass": [735.07],
+
+ "os-odl-nofeature-ha:arm-pod5:fuel": [531.63],
+
+ "os-nosdn-nofeature-ha:huawei-virtual3:compass": [493.985],
+
+ "os-nosdn-nofeature-ha:arm-pod5:fuel": [448.82],
+
+ "os-nosdn-nofeature-ha:arm-pod6:fuel": [193.43],
+
+ "os-nosdn-nofeature-ha:huawei-virtual1:compass": [189.99],
+
+ "os-nosdn-nofeature-ha:huawei-virtual2:compass": [80.15]
+
+}
+
+
+The influence of the scenario
+^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc083_scenario.png
+ :width: 800px
+ :alt: TC083 influence of scenario
+
+the influence of the scenario
+
+{
+
+ "os-nosdn-nofeature-ha": [1109.12],
+
+ "os-odl-nofeature-ha": [531.63]
+
+}
+
+
+The influence of the POD
+^^^^^^^^^^^^^^^^^^^^^^^^
+
+.. image:: images/tc083_pod.png
+ :width: 800px
+ :alt: TC083 influence of the POD
+
+the influence of the POD
+
+{
+
+ "lf-pod1": [2204.42],
+
+ "intel-pod18": [1835.55],
+
+ "lf-pod2": [1676.705],
+
+ "intel-pod5": [1612.555],
+
+ "flex-pod2": [1370.23],
+
+ "huawei-pod12": [1300.12],
+
+ "huawei-pod2": [1070.455],
+
+ "ericsson-pod1": [1004.32],
+
+ "huawei-virtual9": [753.46],
+
+ "huawei-virtual4": [735.07],
+
+ "huawei-virtual3": [493.985],
+
+ "arm-pod5": [451.38],
+
+ "arm-pod6": [193.43],
+
+ "huawei-virtual1": [189.99],
+
+ "huawei-virtual2": [80.15]
+
+}
+
+
+Fraser release
+--------------
diff --git a/docs/testing/developer/devguide/devguide.rst b/docs/testing/developer/devguide/devguide.rst
index dade49b75..04d5350be 100755
--- a/docs/testing/developer/devguide/devguide.rst
+++ b/docs/testing/developer/devguide/devguide.rst
@@ -432,7 +432,8 @@ Yardstick committers and contributors to review your codes.
:width: 800px
:alt: Gerrit for code review
-You can find Yardstick people info `here <https://wiki.opnfv.org/display/yardstick/People>`_.
+You can find a list Yardstick people `here <https://wiki.opnfv.org/display/yardstick/People>`_,
+or use the ``yardstick-reviewers`` and ``yardstick-committers`` groups in gerrit.
Modify the code under review in Gerrit
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
diff --git a/etc/yardstick/nodes/apex_baremetal/pod.yaml b/etc/yardstick/nodes/apex_baremetal/pod.yaml
new file mode 100644
index 000000000..4b058c499
--- /dev/null
+++ b/etc/yardstick/nodes/apex_baremetal/pod.yaml
@@ -0,0 +1,46 @@
+##############################################################################
+# Copyright (c) 2018 Intracom Telecom and others.
+#
+# All rights reserved. This program and the accompanying materials
+# are made available under the terms of the Apache License, Version 2.0
+# which accompanies this distribution, and is available at
+# http://www.apache.org/licenses/LICENSE-2.0
+##############################################################################
+---
+nodes:
+-
+ name: node1
+ role: Controller
+ ip: ip1
+ user: heat-admin
+ key_filename: node_keyfile
+-
+ name: node2
+ role: Controller
+ ip: ip2
+ user: heat-admin
+ key_filename: node_keyfile
+-
+ name: node3
+ role: Controller
+ ip: ip3
+ user: heat-admin
+ key_filename: node_keyfile
+-
+ name: node4
+ role: Compute
+ ip: ip4
+ user: heat-admin
+ key_filename: node_keyfile
+-
+ name: node5
+ role: Compute
+ ip: ip5
+ user: heat-admin
+ key_filename: node_keyfile
+-
+ name: node6
+ role: Opendaylight-Cluster-Leader
+ ip: ip6
+ user: heat-admin
+ key_filename: node_keyfile
diff --git a/etc/yardstick/nodes/apex_virtual/pod.yaml b/etc/yardstick/nodes/apex_virtual/pod.yaml
new file mode 100644
index 000000000..59b51d224
--- /dev/null
+++ b/etc/yardstick/nodes/apex_virtual/pod.yaml
@@ -0,0 +1,40 @@
+##############################################################################
+# Copyright (c) 2018 Intracom Telecom and others.
+#
+# All rights reserved. This program and the accompanying materials
+# are made available under the terms of the Apache License, Version 2.0
+# which accompanies this distribution, and is available at
+# http://www.apache.org/licenses/LICENSE-2.0
+##############################################################################
+---
+nodes:
+-
+ name: node1
+ role: Controller
+ ip: 192.0.2.15
+ user: heat-admin
+ key_filename: /root/.ssh/id_rsa
+-
+ name: node2
+ role: Controller
+ ip: 192.0.2.4
+ user: heat-admin
+ key_filename: /root/.ssh/id_rsa
+-
+ name: node3
+ role: Controller
+ ip: 192.0.2.6
+ user: heat-admin
+ key_filename: /root/.ssh/id_rsa
+-
+ name: node4
+ role: Compute
+ ip: 192.0.2.10
+ user: heat-admin
+ key_filename: /root/.ssh/id_rsa
+-
+ name: node5
+ role: Compute
+ ip: 192.0.2.14
+ user: heat-admin
+ key_filename: /root/.ssh/id_rsa
diff --git a/nsb_setup.sh b/nsb_setup.sh
index 50fc017d1..86796c4d4 100755
--- a/nsb_setup.sh
+++ b/nsb_setup.sh
@@ -67,8 +67,16 @@ pip install ansible==2.4.2 shade==1.22.2 docker-py==1.10.6
ANSIBLE_SCRIPTS="ansible"
+if [[ -n ${1} ]]; then
+ yardstick_docker_image="-e yardstick_docker_image=${1}"
+else
+ yardstick_docker_image=""
+fi
+
+# no quotes for yardstick_docker_image so when empty it is removed as whitespace
cd ${ANSIBLE_SCRIPTS} &&\
ansible-playbook \
-e img_property="nsb" \
+ ${yardstick_docker_image} \
-e YARD_IMG_ARCH='amd64' ${extra_args}\
-i yardstick-install-inventory.ini nsb_setup.yml
diff --git a/samples/test_suite.yaml b/samples/test_suite.yaml
index 9a766b06a..6f5f53b46 100644
--- a/samples/test_suite.yaml
+++ b/samples/test_suite.yaml
@@ -20,7 +20,8 @@ test_cases:
file_name: ping.yaml
-
file_name: ping-template.yaml
- task_args: '{"packetsize": "200"}'
+ task_args:
+ default: '{"packetsize": "200"}'
-
file_name: ping-template.yaml
task_args_file: "/tmp/test-args-file.json"
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
index 192f2f89a..ba0055321 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-2.cfg
@@ -49,7 +49,7 @@ mode=gen
tx port=p0
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 2]
@@ -59,7 +59,7 @@ mode=gen
tx port=p1
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 3]
@@ -67,12 +67,10 @@ name=rec 0
task=0
mode=lat
rx port=p0
-lat pos=38
[core 4]
name=rec 0
task=0
mode=lat
rx port=p1
-lat pos=38
diff --git a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
index 0db21b681..41c31bf82 100644
--- a/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
+++ b/samples/vnf_samples/nsut/prox/configs/gen_l2fwd-4.cfg
@@ -61,7 +61,7 @@ mode=gen
tx port=p0
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac0} 3c fd fe 9f a3 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 2]
@@ -71,7 +71,7 @@ mode=gen
tx port=p1
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac1} 3c fd fe 9f a3 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 3]
@@ -81,7 +81,7 @@ mode=gen
tx port=p2
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac2} 3c fd fe 9f a5 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac2} 3c fd fe 9f a5 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 4]
@@ -91,7 +91,7 @@ mode=gen
tx port=p3
bps=1250000000
; Ethernet + IP + UDP
-pkt inline=${sut_mac3} 3c fd fe 9f a5 08 08 00 45 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
+pkt inline=${sut_mac3} 3c fd fe 9f a5 08 08 00 45 00 00 1c 00 01 00 00 40 11 f7 7d c0 a8 01 01 c0 a8 01 01 13 88 13 88 00 08 55 7b
lat pos=38
[core 5]
@@ -99,25 +99,22 @@ name=rec 0
task=0
mode=lat
rx port=p0
-lat pos=38
[core 6]
name=rec 1
task=0
mode=lat
rx port=p1
-lat pos=38
[core 7]
name=rec 2
task=0
mode=lat
rx port=p2
-lat pos=38
[core 8]
name=rec 3
task=0
mode=lat
rx port=p3
-lat pos=38 \ No newline at end of file
+
diff --git a/tests/ci/prepare_env.sh b/tests/ci/prepare_env.sh
index d7c60d48f..8b9f887b2 100755
--- a/tests/ci/prepare_env.sh
+++ b/tests/ci/prepare_env.sh
@@ -16,6 +16,7 @@
: ${EXTERNAL_NETWORK:='admin_floating_net'}
: ${USER_NAME:='ubuntu'}
: ${SSH_KEY:='/root/.ssh/id_rsa'}
+: ${DEPLOY_SCENARIO:='unknown'}
# Extract network name from EXTERNAL_NETWORK
# e.g. EXTERNAL_NETWORK='ext-net;flat;192.168.0.2;192.168.0.253;192.168.0.1;192.168.0.0/24'
@@ -62,7 +63,73 @@ verify_connectivity() {
}
ssh_options="-o UserKnownHostsFile=/dev/null -o StrictHostKeyChecking=no"
+if [ "$INSTALLER_TYPE" == "apex" ]; then
+ # check the connection
+ verify_connectivity "${INSTALLER_IP}"
+
+ pod_yaml="$YARDSTICK_REPO_DIR/etc/yardstick/nodes/apex_baremetal/pod.yaml"
+
+ # update "ip" according to the CI env
+ ssh -l root "${INSTALLER_IP}" -i ${SSH_KEY} ${ssh_options} \
+ "source /home/stack/stackrc && openstack server list -f yaml" > node_info
+
+ controller_ips=($(awk '/control/{getline; {print $2}}' < node_info | grep -o '[0-9]\{1,3\}\.[0-9]\{1,3\}\.[0-9]\{1,3\}\.[0-9]\{1,3\}'))
+ compute_ips=($(awk '/compute/{getline; {print $2}}' < node_info | grep -o '[0-9]\{1,3\}\.[0-9]\{1,3\}\.[0-9]\{1,3\}\.[0-9]\{1,3\}'))
+ odl_ip=""
+ # Get ODL's cluster default module-shard Leader IP in HA scenario
+ if [[ ${DEPLOY_SCENARIO} == os-odl-*-ha ]]; then
+ for ip in "${controller_ips[@]}";
+ do
+ if [[ "$odl_ip" ]]; then
+ break
+ fi
+ for ((i=0; i<${#controller_ips[@]}; i++));
+ do
+ ODL_STATE=$(curl -s -u admin:admin -H "Accept: application/json" -H "Content-Type: application/json" \
+ "http://"${ip}":8081/jolokia/read/org.opendaylight.controller:Category=Shards,name=member-"${i}"-shard-default-operational,type=DistributedOperationalDatastore" \
+ | grep -o \"RaftState\"\:\"Leader\" | tr ":" "\n" | sed -n '2p' | sed 's/\"//g');
+
+ if [[ ${ODL_STATE} == "Leader" ]]; then
+ odl_ip=${ip}
+ break
+ fi
+ done;
+ done
+
+ if [[ -z "$odl_ip" ]]; then
+ echo "ERROR: Opendaylight Leader IP is emtpy"
+ exit 1
+ fi
+
+ elif [[ ${DEPLOY_SCENARIO} == *"odl"* ]]; then
+ odl_ip=${controller_ips[0]}
+ fi
+
+ if [[ ${controller_ips[0]} ]]; then
+ sed -i "s|ip1|${controller_ips[0]}|" "${pod_yaml}"
+ fi
+ if [[ ${controller_ips[1]} ]]; then
+ sed -i "s|ip2|${controller_ips[1]}|" "${pod_yaml}"
+ fi
+ if [[ ${controller_ips[2]} ]]; then
+ sed -i "s|ip3|${controller_ips[2]}|" "${pod_yaml}"
+ fi
+ if [[ ${compute_ips[0]} ]]; then
+ sed -i "s|ip4|${compute_ips[0]}|" "${pod_yaml}"
+ fi
+ if [[ ${compute_ips[1]} ]]; then
+ sed -i "s|ip5|${compute_ips[1]}|" "${pod_yaml}"
+ fi
+ if [[ ${odl_ip} ]]; then
+ sed -i "s|ip6|${odl_ip}|" "${pod_yaml}"
+ fi
+
+
+ # update 'key_filename' according to the CI env
+ sed -i "s|node_keyfile|${SSH_KEY}|" "${pod_yaml}"
+
+fi
if [ "$INSTALLER_TYPE" == "fuel" ]; then
# check the connection
diff --git a/tests/opnfv/test_cases/opnfv_yardstick_tc092.yaml b/tests/opnfv/test_cases/opnfv_yardstick_tc092.yaml
new file mode 100644
index 000000000..85ec510df
--- /dev/null
+++ b/tests/opnfv/test_cases/opnfv_yardstick_tc092.yaml
@@ -0,0 +1,276 @@
+##############################################################################
+## Copyright (c) 2018 Intracom Telecom and others.
+##
+## All rights reserved. This program and the accompanying materials
+## are made available under the terms of the Apache License, Version 2.0
+## which accompanies this distribution, and is available at
+## http://www.apache.org/licenses/LICENSE-2.0
+###############################################################################
+---
+
+schema: "yardstick:task:0.1"
+description: >
+ Yardstick TC092 config file;
+ SDN Controller resilience in HA configuration
+
+{% set file = file or '/etc/yardstick/pod.yaml' %}
+{% set attack_host = attack_host or 'node6' %}
+
+scenarios:
+
+-
+ type: "GeneralHA"
+ options:
+ monitors:
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "snat"
+ monitor_time: 50
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "8.8.8.8"
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 50
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "ares"
+ return_parameter:
+ all: "@private_ip"
+
+
+ steps:
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 1
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 2
+
+ - actionKey: "snat"
+ actionType: "monitor"
+ index: 3
+
+
+ nodes:
+ {{attack_host}}: {{attack_host}}.LF
+ athena: athena.ODLHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+-
+ type: "GeneralHA"
+ options:
+ attackers:
+ -
+ fault_type: "kill-process"
+ process_name: "opendaylight"
+ key: "kill-process"
+ host: {{attack_host}}
+
+ monitors:
+ - monitor_type: "process"
+ process_name: "opendaylight"
+ host: {{attack_host}}
+ key: "monitor-recovery"
+ monitor_time: 50
+ sla:
+ max_recover_time: 30
+
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "snat"
+ monitor_time: 70
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "8.8.8.8"
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 70
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "start-service"
+ host: {{attack_host}}
+ operation_key: "start-service"
+ action_parameter:
+ service: "opendaylight"
+ rollback_parameter:
+ service: "opendaylight"
+
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "ares"
+ return_parameter:
+ all: "@private_ip"
+
+
+
+ steps:
+
+ - actionKey: "monitor-recovery"
+ actionType: "monitor"
+ index: 1
+
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 2
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 3
+
+ - actionKey: "snat"
+ actionType: "monitor"
+ index: 4
+
+ - actionKey: "kill-process"
+ actionType: "attacker"
+ index: 5
+
+ - actionKey: "start-service"
+ actionType: "operation"
+ index: 6
+
+
+
+ nodes:
+ {{attack_host}}: {{attack_host}}.LF
+ athena: athena.ODLHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+-
+ type: "GeneralHA"
+ options:
+ monitors:
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 80
+ host: athena
+ sla:
+ max_outage_time: 40
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "hermes"
+ return_parameter:
+ all: "@private_ip"
+
+ - operation_type: "general-operation"
+ key: "nova-create-instance"
+ operation_key: "nova-create-instance"
+ action_parameter:
+ serverconfig: "hermes yardstick-image yardstick-flavor test_one"
+ rollback_parameter:
+ serverconfig: "hermes"
+
+ - operation_type: "general-operation"
+ key: "add-server-to-secgroup"
+ operation_key: "add-server-to-secgroup"
+ action_parameter:
+ serverconfig: "hermes ODLHA1"
+ rollback_parameter:
+ serverconfig: "hermes ODLHA1"
+
+
+ steps:
+ - actionKey: "nova-create-instance"
+ actionType: "operation"
+ index: 1
+
+ - actionKey: "add-server-to-secgroup"
+ actionType: "operation"
+ index: 2
+
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 3
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 4
+
+ nodes:
+ {{attack_host}}: {{attack_host}}.LF
+ athena: athena.ODLHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+
+contexts:
+ -
+ type: Node
+ name: LF
+ file: {{file}}
+ -
+ name: ODLHA1
+ image: yardstick-image
+ flavor: yardstick-flavor
+ user: ubuntu
+ host: athena
+ placement_groups:
+ pgrp1:
+ policy: "availability"
+ servers:
+ athena:
+ floating_ip: true
+ placement: "pgrp1"
+ network_ports:
+ test_one:
+ - ens0
+
+ ares:
+ floating_ip: true
+ placement: "pgrp1"
+ network_ports:
+ test_one:
+ - ens0
+
+ networks:
+ test_one:
+ cidr: '10.0.1.0/24'
+ router: 'test_router'
+
diff --git a/tests/opnfv/test_cases/opnfv_yardstick_tc093.yaml b/tests/opnfv/test_cases/opnfv_yardstick_tc093.yaml
new file mode 100644
index 000000000..a034471aa
--- /dev/null
+++ b/tests/opnfv/test_cases/opnfv_yardstick_tc093.yaml
@@ -0,0 +1,313 @@
+##############################################################################
+## Copyright (c) 2018 Intracom Telecom and others.
+##
+## All rights reserved. This program and the accompanying materials
+## are made available under the terms of the Apache License, Version 2.0
+## which accompanies this distribution, and is available at
+## http://www.apache.org/licenses/LICENSE-2.0
+###############################################################################
+---
+
+schema: "yardstick:task:0.1"
+description: >
+ Yardstick TC093 config file;
+ SDN Vswitch resilience in non-HA or HA configuration
+
+{% set file = file or '/etc/yardstick/pod.yaml' %}
+{% set attack_host_cmp_one = attack_host_cmp_one or 'node4' %}
+{% set attack_host_cmp_two = attack_host_cmp_two or 'node5' %}
+{% set systemd_service_name = systemd_service_name or 'openvswitch-switch'%}
+
+scenarios:
+
+-
+ type: "GeneralHA"
+ options:
+ monitors:
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "snat"
+ monitor_time: 50
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "8.8.8.8"
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 50
+ host: athena
+ sla:
+ max_outage_time: 0
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "ares"
+ return_parameter:
+ all: "@private_ip"
+
+
+ steps:
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 1
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 2
+
+ - actionKey: "snat"
+ actionType: "monitor"
+ index: 3
+
+
+ nodes:
+ athena: athena.ODLnoHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+
+-
+ type: "GeneralHA"
+ options:
+ attackers:
+ -
+ fault_type: "kill-process"
+ process_name: "openvswitch"
+ key: "kill-process-cmp-one"
+ host: {{attack_host_cmp_one}}
+
+ -
+ fault_type: "kill-process"
+ process_name: "openvswitch"
+ key: "kill-process-cmp-two"
+ host: {{attack_host_cmp_two}}
+
+ monitors:
+ - monitor_type: "process"
+ process_name: "openvswitch"
+ host: {{attack_host_cmp_one}}
+ key: "monitor-recovery-cmp-one"
+ monitor_time: 50
+ sla:
+ max_recover_time: 30
+
+ - monitor_type: "process"
+ process_name: "openvswitch"
+ host: {{attack_host_cmp_two}}
+ key: "monitor-recovery-cmp-two"
+ monitor_time: 50
+ sla:
+ max_recover_time: 30
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "snat"
+ monitor_time: 70
+ host: athena
+ sla:
+ max_outage_time: 20
+ parameter:
+ destination_ip: "8.8.8.8"
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 70
+ host: athena
+ sla:
+ max_outage_time: 20
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "restart-service-cmp-one"
+ host: {{attack_host_cmp_one}}
+ operation_key: "start-service"
+ action_parameter:
+ service: {{systemd_service_name ~ " restart"}}
+ rollback_parameter:
+ service: "openvswitch"
+
+ - operation_type: "general-operation"
+ key: "restart-service-cmp-two"
+ host: {{attack_host_cmp_two}}
+ operation_key: "start-service"
+ action_parameter:
+ service: {{systemd_service_name ~ " restart"}}
+ rollback_parameter:
+ service: "openvswitch"
+
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "ares"
+ return_parameter:
+ all: "@private_ip"
+
+
+
+ steps:
+
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 1
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 2
+
+ - actionKey: "snat"
+ actionType: "monitor"
+ index: 3
+
+ - actionKey: "kill-process-cmp-one"
+ actionType: "attacker"
+ index: 4
+
+ - actionKey: "kill-process-cmp-two"
+ actionType: "attacker"
+ index: 5
+
+ - actionKey: "monitor-recovery-cmp-one"
+ actionType: "monitor"
+ index: 6
+
+ - actionKey: "monitor-recovery-cmp-two"
+ actionType: "monitor"
+ index: 7
+
+
+ - actionKey: "restart-service-cmp-one"
+ actionType: "operation"
+ index: 8
+
+ - actionKey: "restart-service-cmp-two"
+ actionType: "operation"
+ index: 9
+
+
+ nodes:
+ {{attack_host_cmp_one}}: {{attack_host_cmp_one}}.LF
+ {{attack_host_cmp_two}}: {{attack_host_cmp_two}}.LF
+ athena: athena.ODLnoHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+-
+ type: "GeneralHA"
+ options:
+ monitors:
+
+ - monitor_type: "general-monitor"
+ monitor_key: "ip-status"
+ key: "l2"
+ monitor_time: 80
+ host: athena
+ sla:
+ max_outage_time: 40
+ parameter:
+ destination_ip: "@private_ip"
+
+ operations:
+ - operation_type: "general-operation"
+ key: "get-privateip"
+ operation_key: "get-privateip"
+ action_parameter:
+ server_name: "hermes"
+ return_parameter:
+ all: "@private_ip"
+
+ - operation_type: "general-operation"
+ key: "nova-create-instance"
+ operation_key: "nova-create-instance"
+ action_parameter:
+ serverconfig: "hermes yardstick-image yardstick-flavor test_one"
+ rollback_parameter:
+ serverconfig: "hermes"
+
+ - operation_type: "general-operation"
+ key: "add-server-to-secgroup"
+ operation_key: "add-server-to-secgroup"
+ action_parameter:
+ serverconfig: "hermes ODLnoHA1"
+ rollback_parameter:
+ serverconfig: "hermes ODLnoHA1"
+
+
+ steps:
+ - actionKey: "nova-create-instance"
+ actionType: "operation"
+ index: 1
+
+ - actionKey: "add-server-to-secgroup"
+ actionType: "operation"
+ index: 2
+
+ - actionKey: "get-privateip"
+ actionType: "operation"
+ index: 3
+
+ - actionKey: "l2"
+ actionType: "monitor"
+ index: 4
+
+ nodes:
+ athena: athena.ODLnoHA1
+ runner:
+ type: Duration
+ duration: 1
+ sla:
+ action: monitor
+
+
+contexts:
+ -
+ type: Node
+ name: LF
+ file: {{file}}
+ -
+ name: ODLnoHA1
+ image: yardstick-image
+ flavor: yardstick-flavor
+ user: ubuntu
+ host: athena
+ placement_groups:
+ pgrp1:
+ policy: "availability"
+ servers:
+ athena:
+ floating_ip: true
+ placement: "pgrp1"
+ network_ports:
+ test_one:
+ - ens0
+
+ ares:
+ floating_ip: true
+ placement: "pgrp1"
+ network_ports:
+ test_one:
+ - ens0
+
+ networks:
+ test_one:
+ cidr: '10.0.1.0/24'
+ router: 'test_router'
+
diff --git a/tests/opnfv/test_suites/opnfv_os-odl-nofeature-ha_daily.yaml b/tests/opnfv/test_suites/opnfv_os-odl-nofeature-ha_daily.yaml
index 13cc710f3..f174a90e4 100644
--- a/tests/opnfv/test_suites/opnfv_os-odl-nofeature-ha_daily.yaml
+++ b/tests/opnfv/test_suites/opnfv_os-odl-nofeature-ha_daily.yaml
@@ -62,3 +62,18 @@ test_cases:
task_args:
huawei-pod1: '{"file": "etc/yardstick/nodes/compass_sclab_physical/pod.yaml",
"host": "node1"}'
+-
+ file_name: opnfv_yardstick_tc092.yaml
+ constraint:
+ installer: apex
+ task_args:
+ default: '{"file": "etc/yardstick/nodes/apex_baremetal/pod.yaml",
+ "attack_host": "node6"}'
+-
+ file_name: opnfv_yardstick_tc093.yaml
+ constraint:
+ installer: apex
+ task_args:
+ default: '{"file": "etc/yardstick/nodes/apex_baremetal/pod.yaml",
+ "attack_host_cmp_one": "node4","attack_host_cmp_two": "node5",
+ "systemd_service_name": "openvswitch"}'
diff --git a/tests/opnfv/test_suites/opnfv_os-odl-nofeature-noha_daily.yaml b/tests/opnfv/test_suites/opnfv_os-odl-nofeature-noha_daily.yaml
index 42a170a89..feb8a6631 100644
--- a/tests/opnfv/test_suites/opnfv_os-odl-nofeature-noha_daily.yaml
+++ b/tests/opnfv/test_suites/opnfv_os-odl-nofeature-noha_daily.yaml
@@ -61,3 +61,11 @@ test_cases:
task_args:
default: '{"file": "etc/yardstick/nodes/fuel_baremetal/pod.yaml",
"attack_host": "node6"}'
+-
+ file_name: opnfv_yardstick_tc093.yaml
+ constraint:
+ installer: apex
+ task_args:
+ default: '{"file": "etc/yardstick/nodes/apex_baremetal/pod.yaml",
+ "attack_host_cmp_one": "node4","attack_host_cmp_two": "node5",
+ "systemd_service_name": "openvswitch"}'
diff --git a/tests/unit/network_services/vnf_generic/vnf/test_base.py b/tests/unit/network_services/vnf_generic/vnf/test_base.py
index 664373f8f..9ef6473f0 100644
--- a/tests/unit/network_services/vnf_generic/vnf/test_base.py
+++ b/tests/unit/network_services/vnf_generic/vnf/test_base.py
@@ -215,9 +215,11 @@ class TestGenericVNF(unittest.TestCase):
with self.assertRaises(TypeError) as exc:
# pylint: disable=abstract-class-instantiated
base.GenericVNF('vnf1', VNFD['vnfd:vnfd-catalog']['vnfd'][0])
- msg = ("Can't instantiate abstract class GenericVNF with abstract "
- "methods collect_kpi, instantiate, scale, terminate, "
- "wait_for_instantiate")
+
+ msg = ("Can't instantiate abstract class GenericVNF with abstract methods "
+ "collect_kpi, instantiate, scale, start_collect, "
+ "stop_collect, terminate, wait_for_instantiate")
+
self.assertEqual(msg, str(exc.exception))
diff --git a/tests/unit/network_services/vnf_generic/vnf/test_sample_vnf.py b/tests/unit/network_services/vnf_generic/vnf/test_sample_vnf.py
index eb59c2837..38a043d00 100644
--- a/tests/unit/network_services/vnf_generic/vnf/test_sample_vnf.py
+++ b/tests/unit/network_services/vnf_generic/vnf/test_sample_vnf.py
@@ -1714,6 +1714,64 @@ class TestSampleVnf(unittest.TestCase):
self.assertIsNone(sample_vnf.instantiate(scenario_cfg, {}))
self.assertEqual(sample_vnf.nfvi_context, context2)
+ def test__update_collectd_options(self):
+ scenario_cfg = {'options':
+ {'collectd':
+ {'interval': 3,
+ 'plugins':
+ {'plugin3': {'param': 3}}},
+ 'vnf__0':
+ {'collectd':
+ {'interval': 2,
+ 'plugins':
+ {'plugin3': {'param': 2},
+ 'plugin2': {'param': 2}}}}}}
+ context_cfg = {'nodes':
+ {'vnf__0':
+ {'collectd':
+ {'interval': 1,
+ 'plugins':
+ {'plugin3': {'param': 1},
+ 'plugin2': {'param': 1},
+ 'plugin1': {'param': 1}}}}}}
+ expected = {'interval': 1,
+ 'plugins':
+ {'plugin3': {'param': 1},
+ 'plugin2': {'param': 1},
+ 'plugin1': {'param': 1}}}
+
+ vnfd = self.VNFD['vnfd:vnfd-catalog']['vnfd'][0]
+ sample_vnf = SampleVNF('vnf__0', vnfd)
+ sample_vnf._update_collectd_options(scenario_cfg, context_cfg)
+ self.assertEqual(sample_vnf.setup_helper.collectd_options, expected)
+
+ def test__update_options(self):
+ options1 = {'interval': 1,
+ 'param1': 'value1',
+ 'plugins':
+ {'plugin3': {'param': 3},
+ 'plugin2': {'param': 1},
+ 'plugin1': {'param': 1}}}
+ options2 = {'interval': 2,
+ 'param2': 'value2',
+ 'plugins':
+ {'plugin4': {'param': 4},
+ 'plugin2': {'param': 2},
+ 'plugin1': {'param': 2}}}
+ expected = {'interval': 1,
+ 'param1': 'value1',
+ 'param2': 'value2',
+ 'plugins':
+ {'plugin4': {'param': 4},
+ 'plugin3': {'param': 3},
+ 'plugin2': {'param': 1},
+ 'plugin1': {'param': 1}}}
+
+ vnfd = self.VNFD['vnfd:vnfd-catalog']['vnfd'][0]
+ sample_vnf = SampleVNF('vnf1', vnfd)
+ sample_vnf._update_options(options2, options1)
+ self.assertEqual(options2, expected)
+
@mock.patch("yardstick.network_services.vnf_generic.vnf.sample_vnf.time")
@mock.patch("yardstick.ssh.SSH")
def test_wait_for_instantiate_empty_queue(self, ssh, *args):
diff --git a/yardstick/benchmark/scenarios/availability/attacker/attacker_process.py b/yardstick/benchmark/scenarios/availability/attacker/attacker_process.py
index cb171eafa..7f1136c08 100644
--- a/yardstick/benchmark/scenarios/availability/attacker/attacker_process.py
+++ b/yardstick/benchmark/scenarios/availability/attacker/attacker_process.py
@@ -42,29 +42,28 @@ class ProcessAttacker(BaseAttacker):
def check(self):
with open(self.check_script, "r") as stdin_file:
- exit_status, stdout, stderr = self.connection.execute(
+ _, stdout, stderr = self.connection.execute(
"sudo /bin/sh -s {0}".format(self.service_name),
stdin=stdin_file)
if stdout:
- LOG.info("check the environment success!")
+ LOG.info("Check the environment success!")
return int(stdout.strip('\n'))
else:
- LOG.error(
- "the host environment is error, stdout:%s, stderr:%s",
- stdout, stderr)
+ LOG.error("Error checking the host environment, "
+ "stdout:%s, stderr:%s", stdout, stderr)
return False
def inject_fault(self):
with open(self.inject_script, "r") as stdin_file:
- exit_status, stdout, stderr = self.connection.execute(
+ self.connection.execute(
"sudo /bin/sh -s {0}".format(self.service_name),
stdin=stdin_file)
def recover(self):
with open(self.recovery_script, "r") as stdin_file:
- exit_status, stdout, stderr = self.connection.execute(
+ exit_status, _, _ = self.connection.execute(
"sudo /bin/bash -s {0} ".format(self.service_name),
stdin=stdin_file)
if exit_status:
- LOG.info("Fail to restart service!")
+ LOG.info("Failed to restart service: %s", self.recovery_script)
diff --git a/yardstick/benchmark/scenarios/availability/attacker/baseattacker.py b/yardstick/benchmark/scenarios/availability/attacker/baseattacker.py
index d03d04420..d67a16b98 100644
--- a/yardstick/benchmark/scenarios/availability/attacker/baseattacker.py
+++ b/yardstick/benchmark/scenarios/availability/attacker/baseattacker.py
@@ -71,7 +71,7 @@ class BaseAttacker(object):
for attacker_cls in utils.itersubclasses(BaseAttacker):
if attacker_type == attacker_cls.__attacker_type__:
return attacker_cls
- raise RuntimeError("No such runner_type %s" % attacker_type)
+ raise RuntimeError("No such runner_type: %s" % attacker_type)
def get_script_fullpath(self, path):
base_path = os.path.dirname(attacker_conf_path)
diff --git a/yardstick/benchmark/scenarios/availability/director.py b/yardstick/benchmark/scenarios/availability/director.py
index 71690c135..6cc0cb286 100644
--- a/yardstick/benchmark/scenarios/availability/director.py
+++ b/yardstick/benchmark/scenarios/availability/director.py
@@ -40,7 +40,7 @@ class Director(object):
nodes = self.context_cfg.get("nodes", None)
# setup attackers
if "attackers" in self.scenario_cfg["options"]:
- LOG.debug("start init attackers...")
+ LOG.debug("Start init attackers...")
attacker_cfgs = self.scenario_cfg["options"]["attackers"]
self.attackerMgr = baseattacker.AttackerMgr()
self.data = self.attackerMgr.init_attackers(attacker_cfgs,
@@ -48,19 +48,19 @@ class Director(object):
# setup monitors
if "monitors" in self.scenario_cfg["options"]:
- LOG.debug("start init monitors...")
+ LOG.debug("Start init monitors...")
monitor_cfgs = self.scenario_cfg["options"]["monitors"]
self.monitorMgr = basemonitor.MonitorMgr(self.data)
self.monitorMgr.init_monitors(monitor_cfgs, nodes)
# setup operations
if "operations" in self.scenario_cfg["options"]:
- LOG.debug("start init operations...")
+ LOG.debug("Start init operations...")
operation_cfgs = self.scenario_cfg["options"]["operations"]
self.operationMgr = baseoperation.OperationMgr()
self.operationMgr.init_operations(operation_cfgs, nodes)
# setup result checker
if "resultCheckers" in self.scenario_cfg["options"]:
- LOG.debug("start init resultCheckers...")
+ LOG.debug("Start init resultCheckers...")
result_check_cfgs = self.scenario_cfg["options"]["resultCheckers"]
self.resultCheckerMgr = baseresultchecker.ResultCheckerMgr()
self.resultCheckerMgr.init_ResultChecker(result_check_cfgs, nodes)
@@ -69,7 +69,7 @@ class Director(object):
if intermediate_variables is None:
intermediate_variables = {}
LOG.debug(
- "the type of current action is %s, the key is %s", type, key)
+ "The type of current action is %s, the key is %s", type, key)
if type == ActionType.ATTACKER:
return actionplayers.AttackerPlayer(self.attackerMgr[key], intermediate_variables)
if type == ActionType.MONITOR:
@@ -80,17 +80,17 @@ class Director(object):
if type == ActionType.OPERATION:
return actionplayers.OperationPlayer(self.operationMgr[key],
intermediate_variables)
- LOG.debug("something run when creatactionplayer")
+ LOG.debug("The type is not recognized by createActionPlayer")
def createActionRollbacker(self, type, key):
LOG.debug(
- "the type of current action is %s, the key is %s", type, key)
+ "The type of current action is %s, the key is %s", type, key)
if type == ActionType.ATTACKER:
return actionrollbackers.AttackerRollbacker(self.attackerMgr[key])
if type == ActionType.OPERATION:
return actionrollbackers.OperationRollbacker(
self.operationMgr[key])
- LOG.debug("no rollbacker created for %s", key)
+ LOG.debug("No rollbacker created for key: %s", key)
def verify(self):
result = True
@@ -99,7 +99,7 @@ class Director(object):
if hasattr(self, 'resultCheckerMgr'):
result &= self.resultCheckerMgr.verify()
if result:
- LOG.debug("monitors are passed")
+ LOG.debug("Monitor results are passed")
return result
def stopMonitors(self):
@@ -107,12 +107,12 @@ class Director(object):
self.monitorMgr.wait_monitors()
def knockoff(self):
- LOG.debug("knock off ....")
+ LOG.debug("Knock off ....")
while self.executionSteps:
singleStep = self.executionSteps.pop()
singleStep.rollback()
def store_result(self, result):
- LOG.debug("store result ....")
+ LOG.debug("Store result ....")
if hasattr(self, 'monitorMgr'):
self.monitorMgr.store_result(result)
diff --git a/yardstick/benchmark/scenarios/availability/ha_tools/start_service.bash b/yardstick/benchmark/scenarios/availability/ha_tools/start_service.bash
index 858d86ca0..2388507d7 100755
--- a/yardstick/benchmark/scenarios/availability/ha_tools/start_service.bash
+++ b/yardstick/benchmark/scenarios/availability/ha_tools/start_service.bash
@@ -9,24 +9,23 @@
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
-# Start a service and check the service is started
+# Start or restart a service and check the service is started
set -e
service_name=$1
+operation=${2-start} # values are "start" or "restart"
-Distributor=$(lsb_release -a | grep "Distributor ID" | awk '{print $3}')
-
-if [ "$Distributor" != "Ubuntu" -a "$service_name" != "keystone" -a "$service_name" != "neutron-server" -a "$service_name" != "haproxy" ]; then
+if [ -f /usr/bin/yum -a "$service_name" != "keystone" -a "$service_name" != "neutron-server" -a "$service_name" != "haproxy" -a "$service_name" != "openvswitch" ]; then
service_name="openstack-"${service_name}
-elif [ "$Distributor" = "Ubuntu" -a "$service_name" = "keystone" ]; then
+elif [ -f /usr/bin/apt -a "$service_name" = "keystone" ]; then
service_name="apache2"
elif [ "$service_name" = "keystone" ]; then
service_name="httpd"
fi
if which systemctl 2>/dev/null; then
- systemctl start $service_name
+ systemctl $operation $service_name
else
- service $service_name start
+ service $service_name $operation
fi
diff --git a/yardstick/benchmark/scenarios/availability/monitor/basemonitor.py b/yardstick/benchmark/scenarios/availability/monitor/basemonitor.py
index 50a63f53d..f6004c774 100644
--- a/yardstick/benchmark/scenarios/availability/monitor/basemonitor.py
+++ b/yardstick/benchmark/scenarios/availability/monitor/basemonitor.py
@@ -103,7 +103,7 @@ class BaseMonitor(multiprocessing.Process):
for monitor in utils.itersubclasses(BaseMonitor):
if monitor_type == monitor.__monitor_type__:
return monitor
- raise RuntimeError("No such monitor_type %s" % monitor_type)
+ raise RuntimeError("No such monitor_type: %s" % monitor_type)
def get_script_fullpath(self, path):
base_path = os.path.dirname(monitor_conf_path)
diff --git a/yardstick/benchmark/scenarios/availability/monitor/monitor_command.py b/yardstick/benchmark/scenarios/availability/monitor/monitor_command.py
index d0551bf03..3b36c762d 100644
--- a/yardstick/benchmark/scenarios/availability/monitor/monitor_command.py
+++ b/yardstick/benchmark/scenarios/availability/monitor/monitor_command.py
@@ -24,7 +24,7 @@ def _execute_shell_command(command):
output = []
try:
output = subprocess.check_output(command, shell=True)
- except Exception:
+ except Exception: # pylint: disable=broad-except
exitcode = -1
LOG.error("exec command '%s' error:\n ", command, exc_info=True)
@@ -45,7 +45,7 @@ class MonitorOpenstackCmd(basemonitor.BaseMonitor):
self.connection = ssh.SSH.from_node(host,
defaults={"user": "root"})
self.connection.wait(timeout=600)
- LOG.debug("ssh host success!")
+ LOG.debug("ssh host (%s) success!", str(host))
self.check_script = self.get_script_fullpath(
"ha_tools/check_openstack_cmd.bash")
@@ -61,22 +61,20 @@ class MonitorOpenstackCmd(basemonitor.BaseMonitor):
self.cmd = self.cmd + " --insecure"
def monitor_func(self):
- exit_status = 0
exit_status, stdout = _execute_shell_command(self.cmd)
- LOG.debug("Execute command '%s' and the stdout is:\n%s", self.cmd, stdout)
+ LOG.debug("Executed command '%s'. "
+ "The stdout is:\n%s", self.cmd, stdout)
if exit_status:
return False
return True
def verify_SLA(self):
outage_time = self._result.get('outage_time', None)
- LOG.debug("the _result:%s", self._result)
max_outage_time = self._config["sla"]["max_outage_time"]
if outage_time > max_outage_time:
LOG.info("SLA failure: %f > %f", outage_time, max_outage_time)
return False
else:
- LOG.info("the sla is passed")
return True
@@ -97,7 +95,7 @@ def _test(): # pragma: no cover
}
monitor_configs.append(config)
- p = basemonitor.MonitorMgr()
+ p = basemonitor.MonitorMgr({})
p.init_monitors(monitor_configs, context)
p.start_monitors()
p.wait_monitors()
diff --git a/yardstick/benchmark/scenarios/availability/monitor/monitor_multi.py b/yardstick/benchmark/scenarios/availability/monitor/monitor_multi.py
index dce69f45f..971bae1e9 100644
--- a/yardstick/benchmark/scenarios/availability/monitor/monitor_multi.py
+++ b/yardstick/benchmark/scenarios/availability/monitor/monitor_multi.py
@@ -29,7 +29,7 @@ class MultiMonitor(basemonitor.BaseMonitor):
monitor_cls = basemonitor.BaseMonitor.get_monitor_cls(monitor_type)
monitor_number = self._config.get("monitor_number", 1)
- for i in range(monitor_number):
+ for _ in range(monitor_number):
monitor_ins = monitor_cls(self._config, self._context,
self.monitor_data)
self.monitors.append(monitor_ins)
@@ -70,7 +70,8 @@ class MultiMonitor(basemonitor.BaseMonitor):
elif "max_recover_time" in self._config["sla"]:
max_outage_time = self._config["sla"]["max_recover_time"]
else:
- raise RuntimeError("monitor max_outage_time config is not found")
+ raise RuntimeError("'max_outage_time' or 'max_recover_time' "
+ "config is not found")
self._result = {"outage_time": outage_time}
if outage_time > max_outage_time:
diff --git a/yardstick/benchmark/scenarios/availability/monitor/monitor_process.py b/yardstick/benchmark/scenarios/availability/monitor/monitor_process.py
index b0f6f8e9d..8d2f2633c 100644
--- a/yardstick/benchmark/scenarios/availability/monitor/monitor_process.py
+++ b/yardstick/benchmark/scenarios/availability/monitor/monitor_process.py
@@ -25,14 +25,14 @@ class MonitorProcess(basemonitor.BaseMonitor):
self.connection = ssh.SSH.from_node(host, defaults={"user": "root"})
self.connection.wait(timeout=600)
- LOG.debug("ssh host success!")
+ LOG.debug("ssh host (%s) success!", str(host))
self.check_script = self.get_script_fullpath(
"ha_tools/check_process_python.bash")
self.process_name = self._config["process_name"]
def monitor_func(self):
with open(self.check_script, "r") as stdin_file:
- exit_status, stdout, stderr = self.connection.execute(
+ _, stdout, _ = self.connection.execute(
"sudo /bin/sh -s {0}".format(self.process_name),
stdin=stdin_file)
@@ -45,14 +45,12 @@ class MonitorProcess(basemonitor.BaseMonitor):
return True
def verify_SLA(self):
- LOG.debug("the _result:%s", self._result)
outage_time = self._result.get('outage_time', None)
max_outage_time = self._config["sla"]["max_recover_time"]
if outage_time > max_outage_time:
- LOG.error("SLA failure: %f > %f", outage_time, max_outage_time)
+ LOG.info("SLA failure: %f > %f", outage_time, max_outage_time)
return False
else:
- LOG.info("the sla is passed")
return True
@@ -73,7 +71,7 @@ def _test(): # pragma: no cover
}
monitor_configs.append(config)
- p = basemonitor.MonitorMgr()
+ p = basemonitor.MonitorMgr({})
p.init_monitors(monitor_configs, context)
p.start_monitors()
p.wait_monitors()
diff --git a/yardstick/benchmark/scenarios/availability/serviceha.py b/yardstick/benchmark/scenarios/availability/serviceha.py
index dcd0fe598..42941c6e7 100755
--- a/yardstick/benchmark/scenarios/availability/serviceha.py
+++ b/yardstick/benchmark/scenarios/availability/serviceha.py
@@ -34,7 +34,7 @@ class ServiceHA(base.Scenario):
"""scenario setup"""
nodes = self.context_cfg.get("nodes", None)
if nodes is None:
- LOG.error("the nodes info is none")
+ LOG.error("The nodes info is none")
return
self.attackers = []
@@ -57,17 +57,17 @@ class ServiceHA(base.Scenario):
def run(self, result):
"""execute the benchmark"""
if not self.setup_done:
- LOG.error("The setup not finished!")
+ LOG.error("The setup is not finished!")
return
self.monitorMgr.start_monitors()
- LOG.info("HA monitor start!")
+ LOG.info("Monitor '%s' start!", self.__scenario_type__)
for attacker in self.attackers:
attacker.inject_fault()
self.monitorMgr.wait_monitors()
- LOG.info("HA monitor stop!")
+ LOG.info("Monitor '%s' stop!", self.__scenario_type__)
sla_pass = self.monitorMgr.verify_SLA()
for k, v in self.data.items():
diff --git a/yardstick/benchmark/scenarios/networking/vnf_generic.py b/yardstick/benchmark/scenarios/networking/vnf_generic.py
index be2fa3f3b..78f866e25 100644
--- a/yardstick/benchmark/scenarios/networking/vnf_generic.py
+++ b/yardstick/benchmark/scenarios/networking/vnf_generic.py
@@ -441,7 +441,7 @@ class NetworkServiceTestCase(scenario_base.Scenario):
traffic_gen.listen_traffic(self.traffic_profile)
# register collector with yardstick for KPI collection.
- self.collector = Collector(self.vnfs, self.context_cfg["nodes"], self.traffic_profile)
+ self.collector = Collector(self.vnfs)
self.collector.start()
# Start the actual traffic
diff --git a/yardstick/network_services/collector/subscriber.py b/yardstick/network_services/collector/subscriber.py
index 7e18302eb..322b3f5a2 100644
--- a/yardstick/network_services/collector/subscriber.py
+++ b/yardstick/network_services/collector/subscriber.py
@@ -14,42 +14,29 @@
"""This module implements stub for publishing results in yardstick format."""
import logging
-from yardstick.network_services.nfvi.resource import ResourceProfile
-from yardstick.network_services.utils import get_nsb_option
-
LOG = logging.getLogger(__name__)
class Collector(object):
"""Class that handles dictionary of results in yardstick-plot format."""
- def __init__(self, vnfs, nodes, traffic_profile, timeout=3600):
+ def __init__(self, vnfs):
super(Collector, self).__init__()
- self.traffic_profile = traffic_profile
self.vnfs = vnfs
- self.nodes = nodes
- self.timeout = timeout
- self.bin_path = get_nsb_option('bin_path', '')
- self.resource_profiles = {node_name: ResourceProfile.make_from_node(node, self.timeout)
- for node_name, node in self.nodes.items()
- if node.get("collectd")}
def start(self):
- """Nothing to do, yet"""
- for resource in self.resource_profiles.values():
- resource.initiate_systemagent(self.bin_path)
- resource.start()
- resource.amqp_process_for_nfvi_kpi()
+ for vnf in self.vnfs:
+ vnf.start_collect()
def stop(self):
- """Nothing to do, yet"""
- for resource in self.resource_profiles.values():
- resource.stop()
+ for vnf in self.vnfs:
+ vnf.stop_collect()
def get_kpi(self):
"""Returns dictionary of results in yardstick-plot format
- :return:
+ :return: (dict) dictionary of kpis collected from the VNFs;
+ the keys are the names of the VNFs.
"""
results = {}
for vnf in self.vnfs:
@@ -58,17 +45,4 @@ class Collector(object):
LOG.debug("collect KPI for %s", vnf.name)
results[vnf.name] = vnf.collect_kpi()
- for node_name, resource in self.resource_profiles.items():
- # Result example:
- # {"VNF1: { "tput" : [1000, 999] }, "VNF2": { "latency": 100 }}
- LOG.debug("collect KPI for %s", node_name)
- if resource.check_if_system_agent_running("collectd")[0] != 0:
- continue
-
- try:
- results[node_name] = {"core": resource.amqp_collect_nfvi_kpi()}
- LOG.debug("%s collect KPIs %s", node_name, results[node_name]['core'])
- # NOTE(elfoley): catch a more specific error
- except Exception as exc: # pylint: disable=broad-except
- LOG.exception(exc)
return results
diff --git a/yardstick/network_services/vnf_generic/vnf/base.py b/yardstick/network_services/vnf_generic/vnf/base.py
index a776b0989..9ceac3167 100644
--- a/yardstick/network_services/vnf_generic/vnf/base.py
+++ b/yardstick/network_services/vnf_generic/vnf/base.py
@@ -195,6 +195,18 @@ class GenericVNF(object):
:return: {"kpi": value, "kpi2": value}
"""
+ @abc.abstractmethod
+ def start_collect(self):
+ """Start KPI collection
+ :return: None
+ """
+
+ @abc.abstractmethod
+ def stop_collect(self):
+ """Stop KPI collection
+ :return: None
+ """
+
@six.add_metaclass(abc.ABCMeta)
class GenericTrafficGen(GenericVNF):
@@ -254,3 +266,23 @@ class GenericTrafficGen(GenericVNF):
:return: True/False
"""
pass
+
+ def start_collect(self):
+ """Start KPI collection.
+
+ Traffic measurements are always collected during injection.
+
+ Optional.
+
+ :return: True/False
+ """
+ pass
+
+ def stop_collect(self):
+ """Stop KPI collection.
+
+ Optional.
+
+ :return: True/False
+ """
+ pass
diff --git a/yardstick/network_services/vnf_generic/vnf/sample_vnf.py b/yardstick/network_services/vnf_generic/vnf/sample_vnf.py
index d8b9625fb..34b0260b4 100644
--- a/yardstick/network_services/vnf_generic/vnf/sample_vnf.py
+++ b/yardstick/network_services/vnf_generic/vnf/sample_vnf.py
@@ -59,6 +59,7 @@ class SetupEnvHelper(object):
self.vnfd_helper = vnfd_helper
self.ssh_helper = ssh_helper
self.scenario_helper = scenario_helper
+ self.collectd_options = {}
def build_config(self):
raise NotImplementedError
@@ -224,12 +225,6 @@ class DpdkVnfSetupEnvHelper(SetupEnvHelper):
if exit_status == 0:
return
- def get_collectd_options(self):
- options = self.scenario_helper.all_options.get("collectd", {})
- # override with specific node settings
- options.update(self.scenario_helper.options.get("collectd", {}))
- return options
-
def _setup_resources(self):
# what is this magic? how do we know which socket is for which port?
# what about quad-socket?
@@ -242,11 +237,11 @@ class DpdkVnfSetupEnvHelper(SetupEnvHelper):
# this won't work because we don't have DPDK port numbers yet
ports = sorted(self.vnfd_helper.interfaces, key=self.vnfd_helper.port_num)
port_names = (intf["name"] for intf in ports)
- collectd_options = self.get_collectd_options()
- plugins = collectd_options.get("plugins", {})
+ plugins = self.collectd_options.get("plugins", {})
+ interval = self.collectd_options.get("interval")
# we must set timeout to be the same as the VNF otherwise KPIs will die before VNF
return ResourceProfile(self.vnfd_helper.mgmt_interface, port_names=port_names,
- plugins=plugins, interval=collectd_options.get("interval"),
+ plugins=plugins, interval=interval,
timeout=self.scenario_helper.timeout)
def _check_interface_fields(self):
@@ -666,6 +661,7 @@ class SampleVNF(GenericVNF):
pass
def instantiate(self, scenario_cfg, context_cfg):
+ self._update_collectd_options(scenario_cfg, context_cfg)
self.scenario_helper.scenario_cfg = scenario_cfg
self.context_cfg = context_cfg
self.nfvi_context = Context.get_context_from_server(self.scenario_helper.nodes[self.name])
@@ -677,6 +673,54 @@ class SampleVNF(GenericVNF):
self.resource_helper.setup()
self._start_vnf()
+ def _update_collectd_options(self, scenario_cfg, context_cfg):
+ """Update collectd configuration options
+ This function retrieves all collectd options contained in the test case
+
+ definition builds a single dictionary combining them. The following fragment
+ represents a test case with the collectd options and priorities (1 highest, 3 lowest):
+ ---
+ schema: yardstick:task:0.1
+ scenarios:
+ - type: NSPerf
+ nodes:
+ tg__0: trafficgen_1.yardstick
+ vnf__0: vnf.yardstick
+ options:
+ collectd:
+ <options> # COLLECTD priority 3
+ vnf__0:
+ collectd:
+ plugins:
+ load
+ <options> # COLLECTD priority 2
+ context:
+ type: Node
+ name: yardstick
+ nfvi_type: baremetal
+ file: /etc/yardstick/nodes/pod_ixia.yaml # COLLECTD priority 1
+ """
+ scenario_options = scenario_cfg.get('options', {})
+ generic_options = scenario_options.get('collectd', {})
+ scenario_node_options = scenario_options.get(self.name, {})\
+ .get('collectd', {})
+ context_node_options = context_cfg.get('nodes', {})\
+ .get(self.name, {}).get('collectd', {})
+
+ options = generic_options
+ self._update_options(options, scenario_node_options)
+ self._update_options(options, context_node_options)
+
+ self.setup_helper.collectd_options = options
+
+ def _update_options(self, options, additional_options):
+ """Update collectd options and plugins dictionary"""
+ for k, v in additional_options.items():
+ if isinstance(v, dict) and k in options:
+ options[k].update(v)
+ else:
+ options[k] = v
+
def wait_for_instantiate(self):
buf = []
time.sleep(self.WAIT_TIME) # Give some time for config to load
@@ -692,7 +736,6 @@ class SampleVNF(GenericVNF):
LOG.info("%s VNF is up and running.", self.APP_NAME)
self._vnf_up_post()
self.queue_wrapper.clear()
- self.resource_helper.start_collect()
return self._vnf_process.exitcode
if "PANIC" in message:
@@ -705,6 +748,12 @@ class SampleVNF(GenericVNF):
# by other VNF output
self.q_in.put('\r\n')
+ def start_collect(self):
+ self.resource_helper.start_collect()
+
+ def stop_collect(self):
+ self.resource_helper.stop_collect()
+
def _build_run_kwargs(self):
self.run_kwargs = {
'stdin': self.queue_wrapper,
diff --git a/yardstick/tests/unit/common/test_packages.py b/yardstick/tests/unit/common/test_packages.py
new file mode 100644
index 000000000..ba59a3015
--- /dev/null
+++ b/yardstick/tests/unit/common/test_packages.py
@@ -0,0 +1,88 @@
+# Copyright (c) 2018 Intel Corporation
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import mock
+from pip import exceptions as pip_exceptions
+from pip.operations import freeze
+import unittest
+
+from yardstick.common import packages
+
+
+class PipExecuteActionTestCase(unittest.TestCase):
+
+ def setUp(self):
+ self._mock_pip_main = mock.patch.object(packages, '_pip_main')
+ self.mock_pip_main = self._mock_pip_main.start()
+ self.mock_pip_main.return_value = 0
+ self._mock_freeze = mock.patch.object(freeze, 'freeze')
+ self.mock_freeze = self._mock_freeze.start()
+ self.addCleanup(self._cleanup)
+
+ def _cleanup(self):
+ self._mock_pip_main.stop()
+ self._mock_freeze.stop()
+
+ def test_pip_execute_action(self):
+ self.assertEqual(0, packages._pip_execute_action('test_package'))
+
+ def test_remove(self):
+ self.assertEqual(0, packages._pip_execute_action('test_package',
+ action='uninstall'))
+
+ def test_install(self):
+ self.assertEqual(0, packages._pip_execute_action(
+ 'test_package', action='install', target='temp_dir'))
+
+ def test_pip_execute_action_error(self):
+ self.mock_pip_main.return_value = 1
+ self.assertEqual(1, packages._pip_execute_action('test_package'))
+
+ def test_pip_execute_action_exception(self):
+ self.mock_pip_main.side_effect = pip_exceptions.PipError
+ self.assertEqual(1, packages._pip_execute_action('test_package'))
+
+ def test_pip_list(self):
+ pkg_input = [
+ 'XStatic-Rickshaw==1.5.0.0',
+ 'xvfbwrapper==0.2.9',
+ '-e git+https://git.opnfv.org/yardstick@50773a24afc02c9652b662ecca'
+ '2fc5621ea6097a#egg=yardstick',
+ 'zope.interface==4.4.3'
+ ]
+ pkg_dict = {
+ 'XStatic-Rickshaw': '1.5.0.0',
+ 'xvfbwrapper': '0.2.9',
+ 'yardstick': '50773a24afc02c9652b662ecca2fc5621ea6097a',
+ 'zope.interface': '4.4.3'
+ }
+ self.mock_freeze.return_value = pkg_input
+
+ pkg_output = packages.pip_list()
+ for pkg_name, pkg_version in pkg_output.items():
+ self.assertEqual(pkg_dict.get(pkg_name), pkg_version)
+
+ def test_pip_list_single_package(self):
+ pkg_input = [
+ 'XStatic-Rickshaw==1.5.0.0',
+ 'xvfbwrapper==0.2.9',
+ '-e git+https://git.opnfv.org/yardstick@50773a24afc02c9652b662ecca'
+ '2fc5621ea6097a#egg=yardstick',
+ 'zope.interface==4.4.3'
+ ]
+ self.mock_freeze.return_value = pkg_input
+
+ pkg_output = packages.pip_list(pkg_name='xvfbwrapper')
+ self.assertEqual(1, len(pkg_output))
+ self.assertEqual(pkg_output.get('xvfbwrapper'), '0.2.9')
diff --git a/yardstick/tests/unit/network_services/collector/test_subscriber.py b/yardstick/tests/unit/network_services/collector/test_subscriber.py
index a344f5c85..14e26f7fe 100644
--- a/yardstick/tests/unit/network_services/collector/test_subscriber.py
+++ b/yardstick/tests/unit/network_services/collector/test_subscriber.py
@@ -17,6 +17,7 @@ import unittest
import mock
from yardstick.network_services.collector import subscriber
+from yardstick import ssh
class MockVnfAprrox(object):
@@ -37,58 +38,41 @@ class MockVnfAprrox(object):
class CollectorTestCase(unittest.TestCase):
- NODES = {
- 'node1': {},
- 'node2': {
- 'ip': '1.2.3.4',
- 'collectd': {
- 'plugins': {'abc': 12, 'def': 34},
- 'interval': 987,
- },
- },
- }
- TRAFFIC_PROFILE = {
- 'key1': 'value1',
- }
-
def setUp(self):
vnf = MockVnfAprrox()
- self.ssh_patch = mock.patch('yardstick.network_services.nfvi.resource.ssh', autospec=True)
+ vnf.start_collect = mock.Mock()
+ vnf.stop_collect = mock.Mock()
+ self.ssh_patch = mock.patch.object(ssh, 'AutoConnectSSH')
mock_ssh = self.ssh_patch.start()
mock_instance = mock.Mock()
mock_instance.execute.return_value = 0, '', ''
- mock_ssh.AutoConnectSSH.from_node.return_value = mock_instance
- self.collector = subscriber.Collector([vnf], self.NODES, self.TRAFFIC_PROFILE, 1800)
+ mock_ssh.from_node.return_value = mock_instance
+ self.collector = subscriber.Collector([vnf])
def tearDown(self):
self.ssh_patch.stop()
def test___init__(self, *_):
vnf = MockVnfAprrox()
- collector = subscriber.Collector([vnf], {}, {})
+ collector = subscriber.Collector([vnf])
self.assertEqual(len(collector.vnfs), 1)
- self.assertEqual(collector.traffic_profile, {})
-
- def test___init___with_data(self, *_):
- self.assertEqual(len(self.collector.vnfs), 1)
- self.assertDictEqual(self.collector.traffic_profile, self.TRAFFIC_PROFILE)
- self.assertEqual(len(self.collector.resource_profiles), 1)
-
- def test___init___negative(self, *_):
- pass
def test_start(self, *_):
- with self.assertRaises(Exception):
- self.collector.start()
+ self.assertIsNone(self.collector.start())
+ for vnf in self.collector.vnfs:
+ vnf.start_collect.assert_called_once()
def test_stop(self, *_):
self.assertIsNone(self.collector.stop())
+ for vnf in self.collector.vnfs:
+ vnf.stop_collect.assert_called_once()
def test_get_kpi(self, *_):
result = self.collector.get_kpi()
+ self.assertEqual(1, len(result))
+ self.assertEqual(4, len(result["vnf__1"]))
self.assertEqual(result["vnf__1"]["pkt_in_up_stream"], 100)
self.assertEqual(result["vnf__1"]["pkt_drop_up_stream"], 5)
self.assertEqual(result["vnf__1"]["pkt_in_down_stream"], 50)
self.assertEqual(result["vnf__1"]["pkt_drop_down_stream"], 40)
- self.assertIn('node2', result)