-of CSIT test naming convention is provided on `CSIT test naming wiki
-<https://wiki.fd.io/view/CSIT/csit-test-naming>`_.
-
-Methodology: Multi-Core and Multi-Threading
--------------------------------------------
-
-**Intel Hyper-Threading** - CSIT |release| performance tests are executed with
-SUT servers' Intel XEON processors configured in Intel Hyper-Threading Disabled
-mode (BIOS setting). This is the simplest configuration used to establish
-baseline single-thread single-core application packet processing and forwarding
-performance. Subsequent releases of CSIT will add performance tests with Intel
-Hyper-Threading Enabled (requires BIOS settings change and hard reboot of
-server).
-
-**Multi-core Tests** - CSIT |release| multi-core tests are executed in the
-following VPP thread and core configurations:
-
-#. 1t1c - 1 VPP worker thread on 1 CPU physical core.
-#. 2t2c - 2 VPP worker threads on 2 CPU physical cores.
-#. 4t4c - 4 VPP worker threads on 4 CPU physical cores.
-
-VPP worker threads are the data plane threads. VPP control thread is
-running on a separate non-isolated core together with other Linux
-processes. Note that in quite a few test cases running VPP workers on 2
-or 4 physical cores hits the I/O bandwidth or packets-per-second limit
-of tested NIC.
-
-Section :ref:`throughput_speedup_multi_core` includes a set of graphs
-illustrating packet throughout speedup when running VPP on multiple
-cores.
-
-Methodology: Packet Throughput
-------------------------------
-
-Following values are measured and reported for packet throughput tests:
-
-- NDR binary search per :rfc:`2544`:
-
- - Packet rate: "RATE: <aggregate packet rate in packets-per-second> pps
- (2x <per direction packets-per-second>)";
- - Aggregate bandwidth: "BANDWIDTH: <aggregate bandwidth in Gigabits per
- second> Gbps (untagged)";
-
-- PDR binary search per :rfc:`2544`:
-
- - Packet rate: "RATE: <aggregate packet rate in packets-per-second> pps (2x
- <per direction packets-per-second>)";
- - Aggregate bandwidth: "BANDWIDTH: <aggregate bandwidth in Gigabits per
- second> Gbps (untagged)";
- - Packet loss tolerance: "LOSS_ACCEPTANCE <accepted percentage of packets
- lost at PDR rate>";
-
-- NDR and PDR are measured for the following L2 frame sizes:
-
- - IPv4: 64B, IMIX_v4_1 (28x64B,16x570B,4x1518B), 1518B, 9000B;
- - IPv6: 78B, 1518B, 9000B;
-
-- NDR and PDR binary search resolution is determined by the final value of the
- rate change, referred to as the final step:
-
- - The final step is set to 50kpps for all NIC to NIC tests and all L2
- frame sizes except 9000B (changed from 100kpps used in previous
- releases).
-
- - The final step is set to 10kpps for all remaining tests, including 9000B
- and all vhost VM and memif Container tests.
-
-All rates are reported from external Traffic Generator perspective.
-
-Methodology: Packet Latency
----------------------------
-
-TRex Traffic Generator (TG) is used for measuring latency of VPP DUTs. Reported
-latency values are measured using following methodology:
-
-- Latency tests are performed at 10%, 50% of discovered NDR rate (non drop rate)
- for each NDR throughput test and packet size (except IMIX).
-- TG sends dedicated latency streams, one per direction, each at the rate of
- 10kpps at the prescribed packet size; these are sent in addition to the main
- load streams.
-- TG reports min/avg/max latency values per stream direction, hence two sets
- of latency values are reported per test case; future release of TRex is
- expected to report latency percentiles.
-- Reported latency values are aggregate across two SUTs due to three node
- topology used for all performance tests; for per SUT latency, reported value
- should be divided by two.
-- 1usec is the measurement accuracy advertised by TRex TG for the setup used in
- FD.io labs used by CSIT project.
-- TRex setup introduces an always-on error of about 2*2usec per latency flow -
- additonal Tx/Rx interface latency induced by TRex SW writing and reading
- packet timestamps on CPU cores without HW acceleration on NICs closer to the
- interface line.
-
-
-Methodology: KVM VM vhost
--------------------------
-
-CSIT |release| introduced test environment configuration changes to KVM Qemu
-vhost-user tests in order to more representatively measure |vpp-release|
-performance in configurations with vhost-user interfaces and different Qemu
-settings.
-
-FD.io CSIT performance lab is testing VPP vhost with KVM VMs using following
-environment settings:
-
-- Tests with varying Qemu virtio queue (a.k.a. vring) sizes: [vr256] default 256
- descriptors, [vr1024] 1024 descriptors to optimize for packet throughput;
-
-- Tests with varying Linux :abbr:`CFS (Completely Fair Scheduler)` settings:
- [cfs] default settings, [cfsrr1] CFS RoundRobin(1) policy applied to all data
- plane threads handling test packet path including all VPP worker threads and
- all Qemu testpmd poll-mode threads;
-
-- Resulting test cases are all combinations with [vr256,vr1024] and
- [cfs,cfsrr1] settings;
-
-- Adjusted Linux kernel :abbr:`CFS (Completely Fair Scheduler)` scheduler policy
- for data plane threads used in CSIT is documented in
- `CSIT Performance Environment Tuning wiki <https://wiki.fd.io/view/CSIT/csit-perf-env-tuning-ubuntu1604>`_.
- The purpose is to verify performance impact (NDR, PDR throughput) and
- same test measurements repeatability, by making VPP and VM data plane
- threads less susceptible to other Linux OS system tasks hijacking CPU
- cores running those data plane threads.
-
-Methodology: LXC and Docker Containers memif
---------------------------------------------
-
-CSIT |release| introduced additional tests taking advantage of VPP memif
-virtual interface (shared memory interface) tests to interconnect VPP
-instances. VPP vswitch instance runs in bare-metal user-mode handling
-Intel x520 NIC 10GbE interfaces and connecting over memif (Master side)
-virtual interfaces to more instances of VPP running in :abbr:`LXC (Linux
-Container)` or in Docker Containers, both with memif virtual interfaces
-(Slave side). LXCs and Docker Containers run in a priviliged mode with
-VPP data plane worker threads pinned to dedicated physical CPU cores per
-usual CSIT practice. All VPP instances run the same version of software.
-This test topology is equivalent to existing tests with vhost-user and
-VMs as described earlier in :ref:`tested_physical_topologies`.
-
-More information about CSIT LXC and Docker Container setup and control
-is available in :ref:`container_orchestration_in_csit`.
-
-Methodology: Container Topologies Orchestrated by K8s
------------------------------------------------------
-
-CSIT |release| introduced new tests of Container topologies connected
-over the memif virtual interface (shared memory interface). In order to
-provide simple topology coding flexibility and extensibility container
-orchestration is done with `Kubernetes <https://github.com/kubernetes>`_
-using `Docker <https://github.com/docker>`_ images for all container
-applications including VPP. `Ligato <https://github.com/ligato>`_ is
-used to address the container networking orchestration that is
-integrated with K8s, including memif support.
-
-For these tests VPP vswitch instance runs in a Docker Container handling
-Intel x520 NIC 10GbE interfaces and connecting over memif (Master side)
-virtual interfaces to more instances of VPP running in Docker Containers
-with memif virtual interfaces (Slave side). All Docker Containers run in
-a priviliged mode with VPP data plane worker threads pinned to dedicated
-physical CPU cores per usual CSIT practice. All VPP instances run the
-same version of software. This test topology is equivalent to existing
-tests with vhost-user and VMs as described earlier in
-:ref:`tested_physical_topologies`.
-
-More information about CSIT Container Topologies Orchestrated by K8s is
-available in :ref:`container_orchestration_in_csit`.
-
-Methodology: IPSec with Intel QAT HW cards
-------------------------------------------
-
-VPP IPSec performance tests are using DPDK cryptodev device driver in
-combination with HW cryptodev devices - Intel QAT 8950 50G - present in
-LF FD.io physical testbeds. DPDK cryptodev can be used for all IPSec
-data plane functions supported by VPP.
-
-Currently CSIT |release| implements following IPSec test cases:
-
-- AES-GCM, CBC-SHA1 ciphers, in combination with IPv4 routed-forwarding
- with Intel xl710 NIC.
-- CBC-SHA1 ciphers, in combination with LISP-GPE overlay tunneling for
- IPv4-over-IPv4 with Intel xl710 NIC.
-
-Methodology: TRex Traffic Generator Usage
------------------------------------------
-
-`TRex traffic generator <https://wiki.fd.io/view/TRex>`_ is used for all
-CSIT performance tests. TRex stateless mode is used to measure NDR and PDR
-throughputs using binary search (NDR and PDR discovery tests) and for quick
-checks of DUT performance against the reference NDRs (NDR check tests) for
-specific configuration.
-
-TRex is installed and run on the TG compute node. The typical procedure is:
-
-- If the TRex is not already installed on TG, it is installed in the
- suite setup phase - see `TRex intallation`_.
-- TRex configuration is set in its configuration file
- ::
-
- /etc/trex_cfg.yaml
-
-- TRex is started in the background mode
- ::
-
- $ sh -c 'cd <t-rex-install-dir>/scripts/ && sudo nohup ./t-rex-64 -i -c 7 --iom 0 > /tmp/trex.log 2>&1 &' > /dev/null
-
-- There are traffic streams dynamically prepared for each test, based on traffic
- profiles. The traffic is sent and the statistics obtained using
- :command:`trex_stl_lib.api.STLClient`.
-
-**Measuring packet loss**
-
-- Create an instance of STLClient
-- Connect to the client
-- Add all streams
-- Clear statistics
-- Send the traffic for defined time
-- Get the statistics
-
-If there is a warm-up phase required, the traffic is sent also before test and
-the statistics are ignored.
-
-**Measuring latency**
-
-If measurement of latency is requested, two more packet streams are created (one
-for each direction) with TRex flow_stats parameter set to STLFlowLatencyStats. In
-that case, returned statistics will also include min/avg/max latency values.
-
-Methodology: TCP/IP tests with WRK tool
----------------------------------------
-
-`WRK HTTP benchmarking tool <https://github.com/wg/wrk>`_ is used for
-experimental TCP/IP and HTTP tests of VPP TCP/IP stack and built-in
-static HTTP server. WRK has been chosen as it is capable of generating
-significant TCP/IP and HTTP loads by scaling number of threads across
-multi-core processors.
-
-This in turn enables quite high scale benchmarking of the main TCP/IP
-and HTTP service including HTTP TCP/IP Connections-Per-Second (CPS),
-HTTP Requests-Per-Second and HTTP Bandwidth Throughput.
-
-The initial tests are designed as follows:
-
-- HTTP and TCP/IP Connections-Per-Second (CPS)
-
- - WRK configured to use 8 threads across 8 cores, 1 thread per core.
- - Maximum of 50 concurrent connections across all WRK threads.
- - Timeout for server responses set to 5 seconds.
- - Test duration is 30 seconds.
- - Expected HTTP test sequence:
-
- - Single HTTP GET Request sent per open connection.
- - Connection close after valid HTTP reply.
- - Resulting flow sequence - 8 packets: >S,<S-A,>A,>Req,<Rep,>F,<F,> A.
-
-- HTTP Requests-Per-Second
-
- - WRK configured to use 8 threads across 8 cores, 1 thread per core.
- - Maximum of 50 concurrent connections across all WRK threads.
- - Timeout for server responses set to 5 seconds.
- - Test duration is 30 seconds.
- - Expected HTTP test sequence:
-
- - Multiple HTTP GET Requests sent in sequence per open connection.
- - Connection close after set test duration time.
- - Resulting flow sequence: >S,<S-A,>A,>Req[1],<Rep[1],..,>Req[n],<Rep[n],>F,<F,>A.
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