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-rw-r--r--docs/release/results/euphrates_fraser_comparsion.rst8
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-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--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/lib/create_volume.py49
-rw-r--r--yardstick/benchmark/scenarios/lib/delete_volume.py30
-rw-r--r--yardstick/benchmark/scenarios/lib/detach_volume.py33
-rw-r--r--yardstick/benchmark/scenarios/networking/vnf_generic.py2
-rw-r--r--yardstick/common/exceptions.py12
-rw-r--r--yardstick/common/openstack_utils.py99
-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/benchmark/scenarios/lib/test_create_volume.py120
-rw-r--r--yardstick/tests/unit/benchmark/scenarios/lib/test_delete_volume.py49
-rw-r--r--yardstick/tests/unit/benchmark/scenarios/lib/test_detach_volume.py53
-rw-r--r--yardstick/tests/unit/common/test_openstack_utils.py98
-rw-r--r--yardstick/tests/unit/network_services/collector/test_subscriber.py44
53 files changed, 2614 insertions, 3157 deletions
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
+=======================================================
+
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diff --git a/docs/release/results/images/tc069_pod.png b/docs/release/results/images/tc069_pod.png
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diff --git a/docs/release/results/images/tc082_pod.png b/docs/release/results/images/tc082_pod.png
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diff --git a/docs/release/results/images/tc083_pod.png b/docs/release/results/images/tc083_pod.png
new file mode 100644
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+++ b/docs/release/results/images/tc083_pod.png
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diff --git a/docs/release/results/images/tc083_scenario.png b/docs/release/results/images/tc083_scenario.png
new file mode 100644
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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/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/lib/create_volume.py b/yardstick/benchmark/scenarios/lib/create_volume.py
index df523a5ec..b66749026 100644
--- a/yardstick/benchmark/scenarios/lib/create_volume.py
+++ b/yardstick/benchmark/scenarios/lib/create_volume.py
@@ -7,14 +7,12 @@
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
-from __future__ import print_function
-from __future__ import absolute_import
-
import time
import logging
from yardstick.benchmark.scenarios import base
-import yardstick.common.openstack_utils as op_utils
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
LOG = logging.getLogger(__name__)
@@ -27,15 +25,16 @@ class CreateVolume(base.Scenario):
def __init__(self, scenario_cfg, context_cfg):
self.scenario_cfg = scenario_cfg
self.context_cfg = context_cfg
- self.options = self.scenario_cfg['options']
+ self.options = self.scenario_cfg["options"]
- self.volume_name = self.options.get("volume_name", "TestVolume")
- self.volume_size = self.options.get("size", 100)
- self.image_name = self.options.get("image", None)
- self.image_id = None
+ self.size = self.options["size_gb"]
+ self.wait = self.options.get("wait", True)
+ self.timeout = self.options.get("timeout")
+ self.image = self.options.get("image")
+ self.name = self.options.get("name")
+ self.description = self.options.get("description")
- self.glance_client = op_utils.get_glance_client()
- self.cinder_client = op_utils.get_cinder_client()
+ self.shade_client = openstack_utils.get_shade_client()
self.setup_done = False
@@ -44,27 +43,29 @@ class CreateVolume(base.Scenario):
self.setup_done = True
- def run(self):
+ def run(self, result):
"""execute the test"""
if not self.setup_done:
self.setup()
- self.image_id = op_utils.get_image_id(self.glance_client,
- self.image_name)
+ volume = openstack_utils.create_volume(
+ self.shade_client, self.size, wait=self.wait, timeout=self.timeout,
+ image=self.image, name=self.name, description=self.description)
- volume = op_utils.create_volume(self.cinder_client, self.volume_name,
- self.volume_size, self.image_id)
+ if not volume:
+ result.update({"volume_create": 0})
+ LOG.error("Create volume failed!")
+ raise exceptions.ScenarioCreateVolumeError
- status = volume.status
- while(status == 'creating' or status == 'downloading'):
+ status = volume["status"]
+ while status == "creating" or status == "downloading":
LOG.info("Volume status is: %s", status)
time.sleep(5)
- volume = op_utils.get_volume_by_name(self.volume_name)
- status = volume.status
-
+ volume = openstack_utils.get_volume(self.shade_client, self.name)
+ status = volume["status"]
+ result.update({"volume_create": 1})
LOG.info("Create volume successful!")
-
- values = [volume.id]
- keys = self.scenario_cfg.get('output', '').split()
+ values = [volume["id"]]
+ keys = self.scenario_cfg.get("output", '').split()
return self._push_to_outputs(keys, values)
diff --git a/yardstick/benchmark/scenarios/lib/delete_volume.py b/yardstick/benchmark/scenarios/lib/delete_volume.py
index ea2b85812..59e19dfdf 100644
--- a/yardstick/benchmark/scenarios/lib/delete_volume.py
+++ b/yardstick/benchmark/scenarios/lib/delete_volume.py
@@ -6,14 +6,11 @@
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
-
-from __future__ import print_function
-from __future__ import absolute_import
-
import logging
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
from yardstick.benchmark.scenarios import base
-import yardstick.common.openstack_utils as op_utils
LOG = logging.getLogger(__name__)
@@ -26,11 +23,13 @@ class DeleteVolume(base.Scenario):
def __init__(self, scenario_cfg, context_cfg):
self.scenario_cfg = scenario_cfg
self.context_cfg = context_cfg
- self.options = self.scenario_cfg['options']
+ self.options = self.scenario_cfg["options"]
- self.volume_id = self.options.get("volume_id", None)
+ self.volume_name_or_id = self.options.get("name_or_id")
+ self.wait = self.options.get("wait", True)
+ self.timeout = self.options.get("timeout")
- self.cinder_client = op_utils.get_cinder_client()
+ self.shade_client = openstack_utils.get_shade_client()
self.setup_done = False
@@ -45,11 +44,14 @@ class DeleteVolume(base.Scenario):
if not self.setup_done:
self.setup()
- status = op_utils.delete_volume(self.cinder_client, self.volume_id)
+ status = openstack_utils.delete_volume(
+ self.shade_client, name_or_id=self.volume_name_or_id,
+ wait=self.wait, timeout=self.timeout)
- if status:
- result.update({"delete_volume": 1})
- LOG.info("Delete volume successful!")
- else:
+ if not status:
result.update({"delete_volume": 0})
- LOG.info("Delete volume failed!")
+ LOG.error("Delete volume failed!")
+ raise exceptions.ScenarioDeleteVolumeError
+
+ result.update({"delete_volume": 1})
+ LOG.info("Delete volume successful!")
diff --git a/yardstick/benchmark/scenarios/lib/detach_volume.py b/yardstick/benchmark/scenarios/lib/detach_volume.py
index 0b02a3a81..76c0167bd 100644
--- a/yardstick/benchmark/scenarios/lib/detach_volume.py
+++ b/yardstick/benchmark/scenarios/lib/detach_volume.py
@@ -6,14 +6,12 @@
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
-
-from __future__ import print_function
-from __future__ import absolute_import
-
import logging
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
from yardstick.benchmark.scenarios import base
-import yardstick.common.openstack_utils as op_utils
+
LOG = logging.getLogger(__name__)
@@ -26,10 +24,14 @@ class DetachVolume(base.Scenario):
def __init__(self, scenario_cfg, context_cfg):
self.scenario_cfg = scenario_cfg
self.context_cfg = context_cfg
- self.options = self.scenario_cfg['options']
+ self.options = self.scenario_cfg["options"]
- self.server_id = self.options.get("server_id", "TestServer")
- self.volume_id = self.options.get("volume_id", None)
+ self.server = self.options["server_name_or_id"]
+ self.volume = self.options["volume_name_or_id"]
+ self.wait = self.options.get("wait", True)
+ self.timeout = self.options.get("timeout")
+
+ self.shade_client = openstack_utils.get_shade_client()
self.setup_done = False
@@ -44,11 +46,14 @@ class DetachVolume(base.Scenario):
if not self.setup_done:
self.setup()
- status = op_utils.detach_volume(self.server_id, self.volume_id)
+ status = openstack_utils.detach_volume(
+ self.shade_client, self.server, self.volume,
+ wait=self.wait, timeout=self.timeout)
- if status:
- result.update({"detach_volume": 1})
- LOG.info("Detach volume from server successful!")
- else:
+ if not status:
result.update({"detach_volume": 0})
- LOG.info("Detach volume from server failed!")
+ LOG.error("Detach volume from server failed!")
+ raise exceptions.ScenarioDetachVolumeError
+
+ result.update({"detach_volume": 1})
+ LOG.info("Detach volume from server successful!")
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/common/exceptions.py b/yardstick/common/exceptions.py
index 04920943d..36c7eef05 100644
--- a/yardstick/common/exceptions.py
+++ b/yardstick/common/exceptions.py
@@ -230,3 +230,15 @@ class ScenarioGetServerError(YardstickException):
class ScenarioGetFlavorError(YardstickException):
message = 'Nova Get Falvor Scenario failed'
+
+
+class ScenarioCreateVolumeError(YardstickException):
+ message = 'Cinder Create Volume Scenario failed'
+
+
+class ScenarioDeleteVolumeError(YardstickException):
+ message = 'Cinder Delete Volume Scenario failed'
+
+
+class ScenarioDetachVolumeError(YardstickException):
+ message = 'Cinder Detach Volume Scenario failed'
diff --git a/yardstick/common/openstack_utils.py b/yardstick/common/openstack_utils.py
index 5a83ddb24..e3e08feb6 100644
--- a/yardstick/common/openstack_utils.py
+++ b/yardstick/common/openstack_utils.py
@@ -10,7 +10,6 @@
import copy
import logging
import os
-import sys
from cinderclient import client as cinderclient
from novaclient import client as novaclient
@@ -788,49 +787,75 @@ def get_volume_id(shade_client, volume_name):
return shade_client.get_volume_id(volume_name)
-def create_volume(cinder_client, volume_name, volume_size,
- volume_image=False): # pragma: no cover
+def get_volume(shade_client, name_or_id, filters=None):
+ """Get a volume by name or ID.
+
+ :param name_or_id: Name or ID of the volume.
+ :param filters: A dictionary of meta data to use for further filtering.
+
+ :returns: A volume ``munch.Munch`` or None if no matching volume is found.
+ """
+ return shade_client.get_volume(name_or_id, filters=filters)
+
+
+def create_volume(shade_client, size, wait=True, timeout=None,
+ image=None, **kwargs):
+ """Create a volume.
+
+ :param size: Size, in GB of the volume to create.
+ :param name: (optional) Name for the volume.
+ :param description: (optional) Name for the volume.
+ :param wait: If true, waits for volume to be created.
+ :param timeout: Seconds to wait for volume creation. None is forever.
+ :param image: (optional) Image name, ID or object from which to create
+ the volume.
+
+ :returns: The created volume object.
+
+ """
try:
- if volume_image:
- volume = cinder_client.volumes.create(name=volume_name,
- size=volume_size,
- imageRef=volume_image)
- else:
- volume = cinder_client.volumes.create(name=volume_name,
- size=volume_size)
- return volume
- except Exception: # pylint: disable=broad-except
- log.exception("Error [create_volume(cinder_client, %s)]",
- (volume_name, volume_size))
- return None
+ return shade_client.create_volume(size, wait=wait, timeout=timeout,
+ image=image, **kwargs)
+ except (exc.OpenStackCloudException, exc.OpenStackCloudTimeout) as op_exc:
+ log.error("Failed to create_volume(shade_client). "
+ "Exception message: %s", op_exc.orig_message)
-def delete_volume(cinder_client, volume_id,
- forced=False): # pragma: no cover
+def delete_volume(shade_client, name_or_id=None, wait=True, timeout=None):
+ """Delete a volume.
+
+ :param name_or_id:(string) Name or unique ID of the volume.
+ :param wait:(bool) If true, waits for volume to be deleted.
+ :param timeout:(string) Seconds to wait for volume deletion. None is forever.
+
+ :return: True on success, False otherwise.
+ """
try:
- if forced:
- try:
- cinder_client.volumes.detach(volume_id)
- except Exception: # pylint: disable=broad-except
- log.error(sys.exc_info()[0])
- cinder_client.volumes.force_delete(volume_id)
- else:
- while True:
- volume = get_cinder_client().volumes.get(volume_id)
- if volume.status.lower() == 'available':
- break
- cinder_client.volumes.delete(volume_id)
- return True
- except Exception: # pylint: disable=broad-except
- log.exception("Error [delete_volume(cinder_client, '%s')]", volume_id)
+ return shade_client.delete_volume(name_or_id=name_or_id,
+ wait=wait, timeout=timeout)
+ except (exc.OpenStackCloudException, exc.OpenStackCloudTimeout) as o_exc:
+ log.error("Error [delete_volume(shade_client,'%s')]. "
+ "Exception message: %s", name_or_id, o_exc.orig_message)
return False
-def detach_volume(server_id, volume_id): # pragma: no cover
+def detach_volume(shade_client, server_name_or_id, volume_name_or_id,
+ wait=True, timeout=None):
+ """Detach a volume from a server.
+
+ :param server_name_or_id: The server name or id to detach from.
+ :param volume_name_or_id: The volume name or id to detach.
+ :param wait: If true, waits for volume to be detached.
+ :param timeout: Seconds to wait for volume detachment. None is forever.
+
+ :return: True on success.
+ """
try:
- get_nova_client().volumes.delete_server_volume(server_id, volume_id)
+ volume = shade_client.get_volume(volume_name_or_id)
+ server = get_server(shade_client, name_or_id=server_name_or_id)
+ shade_client.detach_volume(server, volume, wait=wait, timeout=timeout)
return True
- except Exception: # pylint: disable=broad-except
- log.exception("Error [detach_server_volume(nova_client, '%s', '%s')]",
- server_id, volume_id)
+ except (exc.OpenStackCloudException, exc.OpenStackCloudTimeout) as o_exc:
+ log.error("Error [detach_volume(shade_client)]. "
+ "Exception message: %s", o_exc.orig_message)
return False
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/benchmark/scenarios/lib/test_create_volume.py b/yardstick/tests/unit/benchmark/scenarios/lib/test_create_volume.py
index 30333dda8..f91d2c3f4 100644
--- a/yardstick/tests/unit/benchmark/scenarios/lib/test_create_volume.py
+++ b/yardstick/tests/unit/benchmark/scenarios/lib/test_create_volume.py
@@ -6,95 +6,53 @@
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
-import mock
+from oslo_utils import uuidutils
import unittest
+import mock
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
from yardstick.benchmark.scenarios.lib import create_volume
class CreateVolumeTestCase(unittest.TestCase):
def setUp(self):
- self._mock_cinder_client = mock.patch(
- 'yardstick.common.openstack_utils.get_cinder_client')
- self.mock_cinder_client = self._mock_cinder_client.start()
- self._mock_glance_client = mock.patch(
- 'yardstick.common.openstack_utils.get_glance_client')
- self.mock_glance_client = self._mock_glance_client.start()
- self.addCleanup(self._stop_mock)
-
- self.scenario_cfg = {
- "options" :
- {
- 'volume_name': 'yardstick_test_volume_01',
- 'size': '256',
- 'image': 'cirros-0.3.5'
- }
- }
- self.scenario = create_volume.CreateVolume(
- scenario_cfg=self.scenario_cfg,
- context_cfg={})
+ self._mock_create_volume = mock.patch.object(
+ openstack_utils, 'create_volume')
+ self.mock_create_volume = (
+ self._mock_create_volume.start())
+ self._mock_get_shade_client = mock.patch.object(
+ openstack_utils, 'get_shade_client')
+ self.mock_get_shade_client = self._mock_get_shade_client.start()
+ self._mock_log = mock.patch.object(create_volume, 'LOG')
+ self.mock_log = self._mock_log.start()
+ self.args = {'options': {'size_gb': 1}}
+ self.result = {}
+
+ self.cvolume_obj = create_volume.CreateVolume(self.args, mock.ANY)
+ self.addCleanup(self._stop_mock)
def _stop_mock(self):
- self._mock_cinder_client.stop()
- self._mock_glance_client.stop()
-
- def test_init(self):
- self.mock_cinder_client.return_value = "All volumes are equal"
- self.mock_glance_client.return_value = "Images are more equal"
-
- expected_vol_name = self.scenario_cfg["options"]["volume_name"]
- expected_vol_size = self.scenario_cfg["options"]["size"]
- expected_im_name = self.scenario_cfg["options"]["image"]
- expected_im_id = None
-
- scenario = create_volume.CreateVolume(
- scenario_cfg=self.scenario_cfg,
- context_cfg={})
-
- self.assertEqual(expected_vol_name, scenario.volume_name)
- self.assertEqual(expected_vol_size, scenario.volume_size)
- self.assertEqual(expected_im_name, scenario.image_name)
- self.assertEqual(expected_im_id, scenario.image_id)
- self.assertEqual("All volumes are equal", scenario.cinder_client)
- self.assertEqual("Images are more equal", scenario.glance_client)
-
- def test_setup(self):
- self.assertFalse(self.scenario.setup_done)
- self.scenario.setup()
- self.assertTrue(self.scenario.setup_done)
-
- @mock.patch('yardstick.common.openstack_utils.create_volume')
- @mock.patch('yardstick.common.openstack_utils.get_image_id')
- def test_run(self, mock_image_id, mock_create_volume):
- self.scenario.run()
-
- mock_image_id.assert_called_once()
- mock_create_volume.assert_called_once()
-
- @mock.patch.object(create_volume.CreateVolume, 'setup')
- def test_run_no_setup(self, scenario_setup):
- self.scenario.setup_done = False
- self.scenario.run()
- scenario_setup.assert_called_once()
-
- @mock.patch('yardstick.common.openstack_utils.create_volume')
- @mock.patch('yardstick.common.openstack_utils.get_image_id')
- @mock.patch('yardstick.common.openstack_utils.get_cinder_client')
- @mock.patch('yardstick.common.openstack_utils.get_glance_client')
- def test_create_volume(self, mock_get_glance_client,
- mock_get_cinder_client, mock_image_id,
- mock_create_volume):
- options = {
- 'volume_name': 'yardstick_test_volume_01',
- 'size': '256',
- 'image': 'cirros-0.3.5'
- }
- args = {"options": options}
- scenario = create_volume.CreateVolume(args, {})
- scenario.run()
- mock_create_volume.assert_called_once()
- mock_image_id.assert_called_once()
- mock_get_glance_client.assert_called_once()
- mock_get_cinder_client.assert_called_once()
+ self._mock_create_volume.stop()
+ self._mock_get_shade_client.stop()
+ self._mock_log.stop()
+
+ def test_run(self):
+ _uuid = uuidutils.generate_uuid()
+ self.cvolume_obj.scenario_cfg = {'output': 'id'}
+ self.mock_create_volume.return_value = {'name': 'yardstick_volume',
+ 'id': _uuid,
+ 'status': 'available'}
+ output = self.cvolume_obj.run(self.result)
+ self.assertDictEqual({'volume_create': 1}, self.result)
+ self.assertDictEqual({'id': _uuid}, output)
+ self.mock_log.info.asset_called_once_with('Create volume successful!')
+
+ def test_run_fail(self):
+ self.mock_create_volume.return_value = None
+ with self.assertRaises(exceptions.ScenarioCreateVolumeError):
+ self.cvolume_obj.run(self.result)
+ self.assertDictEqual({'volume_create': 0}, self.result)
+ self.mock_log.error.assert_called_once_with('Create volume failed!')
diff --git a/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_volume.py b/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_volume.py
index 93f76e819..0db16f396 100644
--- a/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_volume.py
+++ b/yardstick/tests/unit/benchmark/scenarios/lib/test_delete_volume.py
@@ -9,19 +9,44 @@
import unittest
import mock
-from yardstick.benchmark.scenarios.lib.delete_volume import DeleteVolume
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
+from yardstick.benchmark.scenarios.lib import delete_volume
class DeleteVolumeTestCase(unittest.TestCase):
- @mock.patch('yardstick.common.openstack_utils.get_cinder_client')
- @mock.patch('yardstick.common.openstack_utils.delete_volume')
- def test_delete_volume(self, mock_get_cinder_client, mock_delete_volume):
- options = {
- 'volume_id': '123-123-123'
- }
- args = {"options": options}
- obj = DeleteVolume(args, {})
- obj.run({})
- mock_get_cinder_client.assert_called_once()
- mock_delete_volume.assert_called_once()
+ def setUp(self):
+ self._mock_delete_volume = mock.patch.object(
+ openstack_utils, 'delete_volume')
+ self.mock_delete_volume = (
+ self._mock_delete_volume.start())
+ self._mock_get_shade_client = mock.patch.object(
+ openstack_utils, 'get_shade_client')
+ self.mock_get_shade_client = self._mock_get_shade_client.start()
+ self._mock_log = mock.patch.object(delete_volume, 'LOG')
+ self.mock_log = self._mock_log.start()
+ self.args = {'options': {'name_or_id': 'yardstick_volume'}}
+ self.result = {}
+
+ self.delvol_obj = delete_volume.DeleteVolume(self.args, mock.ANY)
+
+ self.addCleanup(self._stop_mock)
+
+ def _stop_mock(self):
+ self._mock_delete_volume.stop()
+ self._mock_get_shade_client.stop()
+ self._mock_log.stop()
+
+ def test_run(self):
+ self.mock_delete_volume.return_value = True
+ self.assertIsNone(self.delvol_obj.run(self.result))
+ self.assertEqual({'delete_volume': 1}, self.result)
+ self.mock_log.info.assert_called_once_with('Delete volume successful!')
+
+ def test_run_fail(self):
+ self.mock_delete_volume.return_value = False
+ with self.assertRaises(exceptions.ScenarioDeleteVolumeError):
+ self.delvol_obj.run(self.result)
+ self.assertEqual({'delete_volume': 0}, self.result)
+ self.mock_log.error.assert_called_once_with('Delete volume failed!')
diff --git a/yardstick/tests/unit/benchmark/scenarios/lib/test_detach_volume.py b/yardstick/tests/unit/benchmark/scenarios/lib/test_detach_volume.py
index 9794d2129..2bc57f495 100644
--- a/yardstick/tests/unit/benchmark/scenarios/lib/test_detach_volume.py
+++ b/yardstick/tests/unit/benchmark/scenarios/lib/test_detach_volume.py
@@ -6,21 +6,52 @@
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
##############################################################################
+from oslo_utils import uuidutils
import unittest
import mock
-from yardstick.benchmark.scenarios.lib.detach_volume import DetachVolume
+from yardstick.common import openstack_utils
+from yardstick.common import exceptions
+from yardstick.benchmark.scenarios.lib import detach_volume
class DetachVolumeTestCase(unittest.TestCase):
- @mock.patch('yardstick.common.openstack_utils.detach_volume')
- def test_detach_volume(self, mock_detach_volume):
- options = {
- 'server_id': '321-321-321',
- 'volume_id': '123-123-123'
- }
- args = {"options": options}
- obj = DetachVolume(args, {})
- obj.run({})
- mock_detach_volume.assert_called_once()
+ def setUp(self):
+ self._mock_detach_volume = mock.patch.object(
+ openstack_utils, 'detach_volume')
+ self.mock_detach_volume = (
+ self._mock_detach_volume.start())
+ self._mock_get_shade_client = mock.patch.object(
+ openstack_utils, 'get_shade_client')
+ self.mock_get_shade_client = self._mock_get_shade_client.start()
+ self._mock_log = mock.patch.object(detach_volume, 'LOG')
+ self.mock_log = self._mock_log.start()
+ _uuid = uuidutils.generate_uuid()
+ self.args = {'options': {'server_name_or_id': _uuid,
+ 'volume_name_or_id': _uuid}}
+ self.result = {}
+
+ self.detachvol_obj = detach_volume.DetachVolume(self.args, mock.ANY)
+
+ self.addCleanup(self._stop_mock)
+
+ def _stop_mock(self):
+ self._mock_detach_volume.stop()
+ self._mock_get_shade_client.stop()
+ self._mock_log.stop()
+
+ def test_run(self):
+ self.mock_detach_volume.return_value = True
+ self.assertIsNone(self.detachvol_obj.run(self.result))
+ self.assertEqual({'detach_volume': 1}, self.result)
+ self.mock_log.info.assert_called_once_with(
+ 'Detach volume from server successful!')
+
+ def test_run_fail(self):
+ self.mock_detach_volume.return_value = False
+ with self.assertRaises(exceptions.ScenarioDetachVolumeError):
+ self.detachvol_obj.run(self.result)
+ self.assertEqual({'detach_volume': 0}, self.result)
+ self.mock_log.error.assert_called_once_with(
+ 'Detach volume from server failed!')
diff --git a/yardstick/tests/unit/common/test_openstack_utils.py b/yardstick/tests/unit/common/test_openstack_utils.py
index cc19d98b4..a1a4af2e9 100644
--- a/yardstick/tests/unit/common/test_openstack_utils.py
+++ b/yardstick/tests/unit/common/test_openstack_utils.py
@@ -558,3 +558,101 @@ class GetVolumeIDTestCase(unittest.TestCase):
output = openstack_utils.get_volume_id(self.mock_shade_client,
'volume_name')
self.assertIsNone(output)
+
+
+class GetVolumeTestCase(unittest.TestCase):
+
+ def setUp(self):
+ self.mock_shade_client = mock.Mock()
+ self.mock_shade_client.get_volume = mock.Mock()
+
+ def test_get_volume(self):
+ self.mock_shade_client.get_volume.return_value = {'volume'}
+ output = openstack_utils.get_volume(self.mock_shade_client,
+ 'volume_name_or_id')
+ self.assertEqual({'volume'}, output)
+
+ def test_get_volume_None(self):
+ self.mock_shade_client.get_volume.return_value = None
+ output = openstack_utils.get_volume(self.mock_shade_client,
+ 'volume_name_or_id')
+ self.assertIsNone(output)
+
+
+class CreateVolumeTestCase(unittest.TestCase):
+
+ def setUp(self):
+ self.mock_shade_client = mock.Mock()
+ self.size = 1
+
+ def test_create_volume(self):
+ self.mock_shade_client.create_volume.return_value = (
+ {'name': 'volume-name', 'size': self.size})
+ output = openstack_utils.create_volume(
+ self.mock_shade_client, self.size)
+ self.assertEqual(
+ {'name': 'volume-name', 'size': self.size},
+ output)
+
+ @mock.patch.object(openstack_utils, 'log')
+ def test_create_volume_fail(self, mock_logger):
+ self.mock_shade_client.create_volume.side_effect = (
+ exc.OpenStackCloudException('error message'))
+ output = openstack_utils.create_volume(self.mock_shade_client,
+ self.size)
+ mock_logger.error.assert_called_once()
+ self.assertIsNone(output)
+
+
+class DeleteVolumeTestCase(unittest.TestCase):
+
+ def setUp(self):
+ self.mock_shade_client = mock.Mock()
+
+ def test_delete_volume(self):
+ self.mock_shade_client.delete_volume.return_value = True
+ output = openstack_utils.delete_volume(self.mock_shade_client,
+ 'volume_name_or_id')
+ self.assertTrue(output)
+
+ def test_delete_volume_fail(self):
+ self.mock_shade_client.delete_volume.return_value = False
+ output = openstack_utils.delete_volume(self.mock_shade_client,
+ 'volume_name_or_id')
+ self.assertFalse(output)
+
+ @mock.patch.object(openstack_utils, 'log')
+ def test_delete_volume_exception(self, mock_logger):
+ self.mock_shade_client.delete_volume.side_effect = (
+ exc.OpenStackCloudException('error message'))
+ output = openstack_utils.delete_volume(self.mock_shade_client,
+ 'volume_name_or_id')
+ mock_logger.error.assert_called_once()
+ self.assertFalse(output)
+
+
+class DetachVolumeTestCase(unittest.TestCase):
+
+ @mock.patch.object(openstack_utils, 'get_server')
+ def test_detach_volume(self, mock_get_server):
+ self.mock_shade_client = mock.Mock()
+ mock_get_server.return_value = {'server_dict'}
+ self.mock_shade_client.get_volume.return_value = {'volume_dict'}
+ output = openstack_utils.detach_volume(self.mock_shade_client,
+ 'server_name_or_id',
+ 'volume_name_or_id')
+ self.assertTrue(output)
+
+ @mock.patch.object(openstack_utils, 'get_server')
+ @mock.patch.object(openstack_utils, 'log')
+ def test_detach_volume_exception(self, mock_logger, mock_get_server):
+ self.mock_shade_client = mock.Mock()
+ mock_get_server.return_value = {'server_dict'}
+ self.mock_shade_client.get_volume.return_value = {'volume_dict'}
+ self.mock_shade_client.detach_volume.side_effect = (
+ exc.OpenStackCloudException('error message'))
+ output = openstack_utils.detach_volume(self.mock_shade_client,
+ 'server_name_or_id',
+ 'volume_name_or_id')
+ mock_logger.error.assert_called_once()
+ self.assertFalse(output)
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)