Bug 1042267 - [RFE][ceilometer]: Exclude aggregates with anomalously low sample counts from alarm evaluation
Summary: [RFE][ceilometer]: Exclude aggregates with anomalously low sample counts fro...
Keywords:
Status: CLOSED CURRENTRELEASE
Alias: None
Product: Red Hat OpenStack
Classification: Red Hat
Component: openstack-ceilometer
Version: unspecified
Hardware: Unspecified
OS: Unspecified
unspecified
high
Target Milestone: ga
: 5.0 (RHEL 7)
Assignee: RHOS Maint
QA Contact:
URL: https://blueprints.launchpad.net/ceil...
Whiteboard: upstream_milestone_icehouse-3 upstrea...
Depends On:
Blocks:
TreeView+ depends on / blocked
 
Reported: 2013-12-12 21:35 UTC by RHOS Integration
Modified: 2014-09-08 05:42 UTC (History)
5 users (show)

Fixed In Version:
Doc Type: Enhancement
Doc Text:
Clone Of:
Environment:
Last Closed:
Target Upstream Version:


Attachments (Terms of Use)

Description RHOS Integration 2013-12-12 21:35:17 UTC
Cloned from launchpad blueprint https://blueprints.launchpad.net/ceilometer/+spec/exclude-low-sample-count.

Description:

Currently we have a potential scenario whereby an autoscaling alarm defined over an instance group, with the evaluation window & cooldown policy both on the short side, may fire prematurely if an outlier instance is one of just a small number reported as yet for the current period.

We should detect the case where the sample count is anomalously low for the most recent datapoints, based on say a variance of at least one standard deviation from the observed norm. In that case, the less reliable datapoint should be excluded from consideration for alarming.

Specification URL (additional information):

None


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