Anomaly recognition in information technology environments
US11321164B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2020 |
| Grant date | May 3, 2022 |
| Priority date | — |
| Expiry date | Jun 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/08
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method comprises obtaining a set of log files for a software system. The set of log files applies to an extended window. A periodic pattern in a first set of error-event surges in the set of log files is identified. The error-event surges in the first set is identified as event noise. A second set of log files for the software system is obtained. The second set of log files applies to a shortened window. Timeseries analysis on the second set of log files is performed. A particular error-event surge in a detection period in the second set of log files that is abnormal as compared to the shortened window is detected based on the timeseries analysis. That the particular error-event surge does not fit into the periodic pattern is determined, the particular error-event surge is characterized as an anomaly, based on the determining.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.