+++ /dev/null
-Test Environment
-================
-
-Physical Testbeds
------------------
-
-FD.io CSIT performance tests are executed in physical testbeds hosted by
-:abbr:`LF (Linux Foundation)` for FD.io project. Two physical testbed
-topology types are used:
-
-- **3-Node Topology**: Consisting of two servers acting as SUTs
- (Systems Under Test) and one server as TG (Traffic Generator), all
- connected in ring topology.
-- **2-Node Topology**: Consisting of one server acting as SUTs and one
- server as TG both connected in ring topology.
-
-Tested SUT servers are based on a range of processors including Intel
-Xeon Haswell-SP, Intel Xeon Skylake-SP, Intel Xeon Cascadelake-SP, Arm, Intel
-Atom. More detailed description is provided in
-:ref:`tested_physical_topologies`. Tested logical topologies are
-described in :ref:`tested_logical_topologies`.
-
-Server Specifications
----------------------
-
-Complete technical specifications of compute servers used in CSIT
-physical testbeds are maintained in FD.io CSIT repository:
-`FD.io CSIT testbeds - Xeon Cascadelake`_,
-`FD.io CSIT testbeds - Xeon Skylake, Arm, Atom`_ and
-`FD.io CSIT Testbeds - Xeon Haswell`_.
-
-Pre-Test Server Calibration
----------------------------
-
-Number of SUT server sub-system runtime parameters have been identified
-as impacting data plane performance tests. Calibrating those parameters
-is part of FD.io CSIT pre-test activities, and includes measuring and
-reporting following:
-
-#. System level core jitter – measure duration of core interrupts by
- Linux in clock cycles and how often interrupts happen. Using
- `CPU core jitter tool <https://git.fd.io/pma_tools/tree/jitter>`_.
-
-#. Memory bandwidth – measure bandwidth with `Intel MLC tool
- <https://software.intel.com/en-us/articles/intelr-memory-latency-checker>`_.
-
-#. Memory latency – measure memory latency with Intel MLC tool.
-
-#. Cache latency at all levels (L1, L2, and Last Level Cache) – measure
- cache latency with Intel MLC tool.
-
-Measured values of listed parameters are especially important for
-repeatable zero packet loss throughput measurements across multiple
-system instances. Generally they come useful as a background data for
-comparing data plane performance results across disparate servers.
-
-Following sections include measured calibration data for Intel Xeon
-Haswell and Intel Xeon Skylake testbeds.