diff options
author | Vratko Polak <vrpolak@cisco.com> | 2018-06-14 14:03:44 +0200 |
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committer | Tibor Frank <tifrank@cisco.com> | 2018-06-20 06:43:22 +0000 |
commit | f2430562835ded8aeb66db2c36379cf3ea54c748 (patch) | |
tree | 0100045839806e1308c76ed7e89943fa96e616fb /docs/new/cpta/introduction | |
parent | 47b807e7268231b35982dc3b5a0c3108537d6432 (diff) |
CSIT-1110: Improve new detection methodology doc
Change-Id: I068fd4e9418f232ee1e1f13994e9c5c431478ec8
Signed-off-by: Vratko Polak <vrpolak@cisco.com>
Diffstat (limited to 'docs/new/cpta/introduction')
-rw-r--r-- | docs/new/cpta/introduction/index.rst | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/docs/new/cpta/introduction/index.rst b/docs/new/cpta/introduction/index.rst index 991181aff4..229e9e3da9 100644 --- a/docs/new/cpta/introduction/index.rst +++ b/docs/new/cpta/introduction/index.rst @@ -8,17 +8,18 @@ Performance dashboard tables provide the latest VPP throughput trend, trend compliance and detected anomalies, all on a per VPP test case basis. Linked trendline graphs enable further drill-down into the trendline compliance, sequence and nature of anomalies, as well as -pointers to performance test builds/logs and VPP builds. Performance -trending is currently based on the Maximum Receive Rate (MRR) tests. MRR -tests measure the packet forwarding rate under the maximum load offered +pointers to performance test builds/logs and VPP (or DPDK) builds. +Performance trending is currently based on the Maximum Receive Rate (MRR) tests. +MRR tests measure the packet forwarding rate under the maximum load offered by traffic generator over a set trial duration, regardless of packet loss. See :ref:`trending_methodology` section for more detail including trend and anomaly calculations. -Data samples are generated by the CSIT VPP performance trending jobs +Data samples are generated by the CSIT VPP (and DPDK) performance trending jobs executed twice a day (target start: every 12 hrs, 02:00, 14:00 UTC). All -trend and anomaly evaluation is based on a rolling window of <N=14> data -samples, covering last 7 days. +trend and anomaly evaluation is based on an algorithm which divides test runs +into groups according to minimum description length principle. +The trend value is the population average of the results within a group. Failed tests ------------ @@ -53,7 +54,6 @@ Legend to the tables: maximum of trend values over the last quarter except last week. - **Regressions [#]**: Number of regressions detected. - **Progressions [#]**: Number of progressions detected. - - **Outliers [#]**: Number of outliers detected. Tested VPP worker-thread-core combinations (1t1c, 2t2c, 4t4c) are listed in separate tables in section 1.x. Followed by trending methodology in |