Tool-specific alerting rules based on abnormal and normal patterns obtained from history logs
US11586972B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 19, 2018 |
| Grant date | Feb 21, 2023 |
| Priority date | — |
| Expiry date | Dec 10, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2216/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method is presented for automatically generating alerting rules. The method includes identifying, via offline analytics, abnormal patterns and normal patterns from history logs based on machine learning, statistical analysis and deep learning, the history logs stored in a history log database, automatically generating the alerting rules based on the identified abnormal and normal patterns, and transmitting the alerting rules to an alerting engine for evaluation. The method further includes receiving a plurality of online log messages from a plurality of computing devices connected to a network, augmenting the plurality of online log messages, and extracting information from the plurality of augmented online log messages to be provided to the alerting engine, the alerting engine configured to approve and enforce the alerting rules automatically generated by the offline analytics processing.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.