Multivariate anomaly detection and identification
US11093360B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2019 |
| Grant date | Aug 17, 2021 |
| Priority date | — |
| Expiry date | Aug 15, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/81
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computerized apparatus and a computer program product for anomaly detection in a distributed system. The method comprises obtaining measurements of metrics of the distributed system within a timeframe. Each measurement comprises a time-series of values to a metric associated with an action of a component of the distributed system that was measured within the timeframe. A set of percentiles of the measurements is computed, whereby a dimensionality of the sets of percentiles is larger than a dimensionality of the metrics. A multivariate anomaly detection is performed based on the weights of the percentiles to determine an anomaly in the sets of percentiles. In response to detecting an anomaly, a source of the anomaly is identified based on a subset of the percentiles having weights above a threshold, by determining common components or actions that are common to at least a portion of the subset of the percentiles.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.