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| author |   Dave Barach <dave@barachs.net> | 2019-02-03 10:44:47 -0500 |
|---|---|---|
| committer |   Dave Barach <openvpp@barachs.net> | 2019-02-03 17:24:18 +0000 |
| commit | 9c8cfd3d575116ef2ebe225b90eb1a93627ba432 (patch) | |
| tree | 98fcdb2a3de7019fd12842e73eb94f7f5f32f58e /test/vpp_memif.py | |
| parent | 9793de02184e250b2c271f4c7710169394c8d0be (diff) | |
Automated anomaly detection
Compute per-track mean, variance, and n*stddev stats for the first u32
datum in each instance of the supplied event.
Search for the next instance of the indicated event which has a datum
larger than mean + n*stddev.
This turns out to be a very effective "Nixon Gap" finder when the
selected event datum is the instantaneous vector size. Such traces can
be easily captured from production vpp images.
Change-Id: I876843cb2ece22f902720704ce4568d4e1173e01
Signed-off-by: Dave Barach <dave@barachs.net>
Diffstat (limited to 'test/vpp_memif.py')
0 files changed, 0 insertions, 0 deletions