Systems and methods for multivariate anomaly detection in software monitoring
US11949703B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 15, 2022 |
| Grant date | Apr 2, 2024 |
| Priority date | — |
| Expiry date | Nov 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG05B23/0221
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are disclosed for summarizing, diagnosing, and correcting the cause of anomalous behavior in computing systems. In some embodiments, a system identifies a plurality of time series that track different metrics over time for a set of one or more computing resources. The system detects a first set of anomalies in a first time series that tracks a first metric and assigns a different respective range of time to each anomaly. The system determines whether the respective range of time assigned to an anomaly overlaps with timestamps or ranges of time associated with anomalies from one or more other time series. The system generates at least one cluster that groups metrics based on how many anomalies have respective ranges of time and/or timestamps that overlap. The system may preform, based on the cluster, one or more automated actions for diagnosing or correcting a cause of anomalous behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.