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diff --git a/docs/requirements/02-measuring_telco_traffic_and_performance_KPIs.rst b/docs/requirements/02-measuring_telco_traffic_and_performance_KPIs.rst deleted file mode 100644 index 7f0d486..0000000 --- a/docs/requirements/02-measuring_telco_traffic_and_performance_KPIs.rst +++ /dev/null @@ -1,195 +0,0 @@ -.. This work is licensed under a Creative Commons Attribution 4.0 International License. -.. http://creativecommons.org/licenses/by/4.0 -.. (c) OPNFV, Intel Corporation and others. - -Measuring Telco Traffic and Performance KPIs -============================================ -This section will discuss the SFQM features that enable Measuring Telco Traffic -and Performance KPIs. - -.. Figure:: stats_and_timestamps.png - - Measuring Telco Traffic and Performance KPIs - -* The very first thing SFQM enabled was a call-back API in DPDK and an - associated application that used the API to demonstrate how to timestamp - packets and measure packet latency in DPDK (the sample app is called - rxtx_callbacks). This was upstreamed to DPDK 2.0 and is represented by - the interfaces 1 and 2 in Figure 1.2. - -* The second thing SFQM implemented in DPDK is the extended NIC statistics API, - which exposes NIC stats including error stats to the DPDK user by reading the - registers on the NIC. This is represented by interface 3 in Figure 1.2. - - * For DPDK 2.1 this API was only implemented for the ixgbe (10Gb) NIC driver, - in association with a sample application that runs as a DPDK secondary - process and retrieves the extended NIC stats. - - * For DPDK 2.2 the API was implemented for igb, i40e and all the Virtual - Functions (VFs) for all drivers. - - * For DPDK 16.07 the API migrated from using string value pairs to using id - value pairs, improving the overall performance of the API. - -Monitoring DPDK interfaces -=========================== -With the features SFQM enabled in DPDK to enable measuring Telco traffic and -performance KPIs, we can now retrieve NIC statistics including error stats and -relay them to a DPDK user. The next step is to enable monitoring of the DPDK -interfaces based on the stats that we are retrieving from the NICs, by relaying -the information to a higher level Fault Management entity. To enable this SFQM -has been enabling a number of plugins for collectd. - -collectd ---------- -collectd is a daemon which collects system performance statistics periodically -and provides a variety of mechanisms to publish the collected metrics. It -supports more than 90 different input and output plugins. Input plugins retrieve -metrics and publish them to the collectd deamon, while output plugins publish -the data they receive to an end point. collectd also has infrastructure to -support thresholding and notification. - -Statistics and Notifications -~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -Within collectd notifications and performance data are dispatched in the same -way. There are producer plugins (plugins that create notifications/metrics), -and consumer plugins (plugins that receive notifications/metrics and do -something with them). - -Statistics in collectd consist of a value list. A value list includes: - -* Values, can be one of: - - * Derive: used for values where a change in the value since it's last been - read is of interest. Can be used to calculate and store a rate. - - * Counter: similar to derive values, but take the possibility of a counter - wrap around into consideration. - - * Gauge: used for values that are stored as is. - - * Absolute: used for counters that are reset after reading. - -* Value length: the number of values in the data set. - -* Time: timestamp at which the value was collected. - -* Interval: interval at which to expect a new value. - -* Host: used to identify the host. - -* Plugin: used to identify the plugin. - -* Plugin instance (optional): used to group a set of values together. For e.g. - values belonging to a DPDK interface. - -* Type: unit used to measure a value. In other words used to refer to a data - set. - -* Type instance (optional): used to distinguish between values that have an - identical type. - -* meta data: an opaque data structure that enables the passing of additional - information about a value list. "Meta data in the global cache can be used to - store arbitrary information about an identifier" [7]. - -Host, plugin, plugin instance, type and type instance uniquely identify a -collectd value. - -Values lists are often accompanied by data sets that describe the values in more -detail. Data sets consist of: - -* A type: a name which uniquely identifies a data set. - -* One or more data sources (entries in a data set) which include: - - * The name of the data source. If there is only a single data source this is - set to "value". - - * The type of the data source, one of: counter, gauge, absolute or derive. - - * A min and a max value. - -Types in collectd are defined in types.db. Examples of types in types.db: - -.. code-block:: console - - bitrate value:GAUGE:0:4294967295 - counter value:COUNTER:U:U - if_octets rx:COUNTER:0:4294967295, tx:COUNTER:0:4294967295 - -In the example above if_octets has two data sources: tx and rx. - -Notifications in collectd are generic messages containing: - -* An associated severity, which can be one of OKAY, WARNING, and FAILURE. - -* A time. - -* A Message - -* A host. - -* A plugin. - -* A plugin instance (optional). - -* A type. - -* A types instance (optional). - -* Meta-data. - -collectd plugins ----------------- -SFQM has enabled three collectd plugins to date: - -* `dpdkstat plugin`_: A read plugin that retrieve stats from the DPDK extended - NIC stats API. - -* `ceilometer plugin`_: A write plugin that pushes the retrieved stats to - Ceilometer. It's capable of pushing any stats read through collectd to - Ceilometer, not just the DPDK stats. - -* `hugepages plugin`_: A read plugin that retrieves the number of available - and free hugepages on a platform as well as what is available in terms of - hugepages per socket. - -Other plugins in progress: - -* dpdkevents: A read plugin that retrieves DPDK link status and DPDK - forwarding cores liveliness status (DPDK Keep Alive). - -* Open vSwitch stats Plugin: A read plugin that retrieve flow and interface - stats from OVS. - -* Open vSwitch events Plugin: A read plugin that retrieves events from OVS. - - -Monitoring Interfaces and Openstack Support -------------------------------------------- -.. Figure:: monitoring_interfaces.png - - Monitoring Interfaces and Openstack Support - -The figure above shows the DPDK L2 forwarding application running on a compute -node, sending and receiving traffic. collectd is also running on this compute -node retrieving the stats periodically from DPDK through the dpdkstat plugin -and publishing the retrieved stats to Ceilometer through the ceilometer plugin. - -To see this demo in action please checkout: `SFQM OPNFV Summit demo`_ - -References ----------- -[1] https://collectd.org/wiki/index.php/Naming_schema -[2] https://github.com/collectd/collectd/blob/master/src/daemon/plugin.h -[3] https://collectd.org/wiki/index.php/Value_list_t -[4] https://collectd.org/wiki/index.php/Data_set -[5] https://collectd.org/documentation/manpages/types.db.5.shtml -[6] https://collectd.org/wiki/index.php/Data_source -[7] https://collectd.org/wiki/index.php/Meta_Data_Interface - -.. _SFQM OPNFV Summit demo: https://prezi.com/kjv6o8ixs6se/software-fastpath-service-quality-metrics-demo/ -.. _dpdkstat plugin: https://github.com/maryamtahhan/collectd-with-DPDK/tree/dpdkstat -.. _ceilometer plugin: https://github.com/openstack/collectd-ceilometer-plugin/tree/stable/mitaka -.. _hugepages plugin: https://github.com/maryamtahhan/collectd-with-DPDK/tree/hugepages diff --git a/docs/requirements/03-dpdk_ka.rst b/docs/requirements/03-dpdk_ka.rst deleted file mode 100644 index ce3e7e4..0000000 --- a/docs/requirements/03-dpdk_ka.rst +++ /dev/null @@ -1,128 +0,0 @@ -.. This work is licensed under a Creative Commons Attribution 4.0 International License. -.. http://creativecommons.org/licenses/by/4.0 -.. (c) OPNFV, Intel Corporation and others. - -DPDK Keep Alive Overview -========================= -SFQM aims to enable fault detection within DPDK, the very first feature to -meet this goal is the DPDK Keep Alive Sample app that is part of DPDK 2.2. - -DPDK Keep Alive or KA is a sample application that acts as a heartbeat/watchdog -for DPDK packet processing cores, to detect application thread failure. The -application supports the detection of ‘failed’ DPDK cores and notification to a -HA/SA middleware. The purpose is to detect Packet Processing Core fails (e.g. -infinite loop) and ensure the failure of the core does not result in a fault -that is not detectable by a management entity. - -.. Figure:: dpdk_ka.png - - DPDK Keep Alive Sample Application - -Essentially the app demonstrates how to detect 'silent outages' on DPDK packet -processing cores. The application can be decomposed into two specific parts: -detection and notification. - -* The detection period is programmable/configurable but defaults to 5ms if no - timeout is specified. -* The Notification support is enabled by simply having a hook function that where this - can be 'call back support' for a fault management application with a compliant - heartbeat mechanism. - -DPDK Keep Alive Sample App Internals -==================================== -This section provides some explanation of the The Keep-Alive/'Liveliness' -conceptual scheme as well as the DPDK Keep Alive App. The initialization and -run-time paths are very similar to those of the L2 forwarding application (see -`L2 Forwarding Sample Application (in Real and Virtualized Environments)`_ for more -information). - -There are two types of cores: a Keep Alive Monitor Agent Core (master DPDK core) -and Worker cores (Tx/Rx/Forwarding cores). The Keep Alive Monitor Agent Core -will supervise worker cores and report any failure (2 successive missed pings). -The Keep-Alive/'Liveliness' conceptual scheme is: - -* DPDK worker cores mark their liveliness as they forward traffic. -* A Keep Alive Monitor Agent Core runs a function every N Milliseconds to - inspect worker core liveliness. -* If keep-alive agent detects time-outs, it notifies the fault management - entity through a call-back function. - -**Note:** Only the worker cores state is monitored. There is no mechanism or agent -to monitor the Keep Alive Monitor Agent Core. - -DPDK Keep Alive Sample App Code Internals -========================================= -The following section provides some explanation of the code aspects that are -specific to the Keep Alive sample application. - -The heartbeat functionality is initialized with a struct rte_heartbeat and the -callback function to invoke in the case of a timeout. - -.. code:: c - - rte_global_keepalive_info = rte_keepalive_create(&dead_core, NULL); - if (rte_global_hbeat_info == NULL) - rte_exit(EXIT_FAILURE, "keepalive_create() failed"); - -The function that issues the pings hbeat_dispatch_pings() is configured to run -every check_period milliseconds. - -.. code:: c - - if (rte_timer_reset(&hb_timer, - (check_period * rte_get_timer_hz()) / 1000, - PERIODICAL, - rte_lcore_id(), - &hbeat_dispatch_pings, rte_global_keepalive_info - ) != 0 ) - rte_exit(EXIT_FAILURE, "Keepalive setup failure.\n"); - -The rest of the initialization and run-time path follows the same paths as the -the L2 forwarding application. The only addition to the main processing loop is -the mark alive functionality and the example random failures. - -.. code:: c - - rte_keepalive_mark_alive(&rte_global_hbeat_info); - cur_tsc = rte_rdtsc(); - - /* Die randomly within 7 secs for demo purposes.. */ - if (cur_tsc - tsc_initial > tsc_lifetime) - break; - -The rte_keepalive_mark_alive() function simply sets the core state to alive. - -.. code:: c - - static inline void - rte_keepalive_mark_alive(struct rte_heartbeat *keepcfg) - { - keepcfg->state_flags[rte_lcore_id()] = 1; - } - -Keep Alive Monitor Agent Core Monitoring Options -The application can run on either a host or a guest. As such there are a number -of options for monitoring the Keep Alive Monitor Agent Core through a Local -Agent on the compute node: - - ====================== ========== ============= - Application Location DPDK KA LOCAL AGENT - ====================== ========== ============= - HOST X HOST/GUEST - GUEST X HOST/GUEST - ====================== ========== ============= - - -For the first implementation of a Local Agent SFQM will enable: - - ====================== ========== ============= - Application Location DPDK KA LOCAL AGENT - ====================== ========== ============= - HOST X HOST - ====================== ========== ============= - -Through extending the dpdkstat plugin for collectd with KA functionality, and -integrating the extended plugin with Monasca for high performing, resilient, -and scalable fault detection. - -.. _L2 Forwarding Sample Application (in Real and Virtualized Environments): http://dpdk.org/doc/guides/sample_app_ug/l2_forward_real_virtual.html diff --git a/docs/requirements/dpdk_ka.png b/docs/requirements/dpdk_ka.png Binary files differdeleted file mode 100644 index 4a45e10..0000000 --- a/docs/requirements/dpdk_ka.png +++ /dev/null diff --git a/docs/requirements/index.rst b/docs/requirements/index.rst index a58b103..a9be153 100644 --- a/docs/requirements/index.rst +++ b/docs/requirements/index.rst @@ -7,6 +7,3 @@ :numbered: 01-intro.rst - 02-measuring_telco_traffic_and_performance_KPIs.rst - 03-dpdk_ka.rst - 04-release_b.rst diff --git a/docs/requirements/monitoring_interfaces.png b/docs/requirements/monitoring_interfaces.png Binary files differdeleted file mode 100644 index e57c4aa..0000000 --- a/docs/requirements/monitoring_interfaces.png +++ /dev/null diff --git a/docs/requirements/stats_and_timestamps.png b/docs/requirements/stats_and_timestamps.png Binary files differdeleted file mode 100644 index 84aef72..0000000 --- a/docs/requirements/stats_and_timestamps.png +++ /dev/null |