Automatic Determination of Dynamic Threshold for Accurate Detection of Abnormalities
AssigneeBMC Software, Inc.
InventorsDerek Dang, Alex Lefaive, Joe Scarpelli, Sridhar Sodem
Life of this patent
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Abstract
An improved performance management technique allows automatic determination dynamic thresholds of a metric based on a baseline of the matching pattern. A pattern matching process is conducted against a set of baseline patterns to find the matching pattern. If a matching pattern is found, the baseline of the matching pattern is used as the dynamic threshold. A series of sanity checks are performed to reduce any false alarms. If the metric does not follow any pattern, a composite of baselines is selected as the dynamic threshold.
Claims19
A method for monitoring performance of an information technology system, the method comprising:
- retrieving data for a metric, said metric indicative of one or more operating parameters of the information technology system;
- identifying a set of baseline patterns of the metric, wherein each of the set of baseline patterns having a baseline;
- determining whether the data matches one of the set of baseline patterns;
- if a matching pattern is determined, selecting a baseline of the matching pattern;
- or selecting a composite baseline if there is no matching pattern;
- and
- applying the selected baseline to dynamically adjust an event threshold for the metric.
A method for monitoring performance of an information technology system, the method comprising:
- retrieving data for a metric, said metric indicative of one or more operating parameters of the information technology system;
- identifying a set of baseline patterns of the metric, wherein each of the set of baseline patterns having a baseline;
- selecting a baseline pattern from the set of baseline patterns;
- performing pattern matching analysis on the selected baseline pattern;
- selecting a baseline of a matching pattern if the act of performing pattern matching analysis identifies a matching pattern;
- and
- applying the selected baseline to dynamically adjust an event threshold for the metric.
Dependencies are inferred from the claim text.