Multivariate path-based anomaly prediction
US10628289B2 · kind B2 · utility
2Cited by
4References
20Claims
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Key dates
| Filing date | Mar 29, 2018 |
| Grant date | Apr 21, 2020 |
| Priority date | — |
| Expiry date | Apr 27, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/87
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A multivariate path-based anomaly detection and prediction service (“anomaly detector”) can generate a prediction event for consumption by the APM manager that indicates a likelihood of an anomaly occurring based on path analysis of multivariate values after topology-based feature selection. To predict that a set of metrics will travel to a cluster that represents anomalous application behavior, the anomaly detector analyzes a set of multivariate date slices that are not within a cluster to determine whether dimensionally reduced representations of the set of multivariate data slices fit a path as described by a function.
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