Continuous system service monitoring using real-time short-term and long-term analysis techniques
US11416368B2 · kind B2 · utility
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Key dates
| Filing date | Nov 21, 2019 |
| Grant date | Aug 16, 2022 |
| Priority date | — |
| Expiry date | Aug 29, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system can monitor applications and analyze the metrics to determine if one or more of the applications are regressing or performing as expected. The metric analysis includes performing a first short term data analysis and, if data is not as expected, a second short term analysis based on machine learning-based pattern recognition machines. If the short-term analysis finds the metrics aren't as expected, a long-term analysis is performed. The long-term analysis can compare chunks of streaming metric data to cached metric blocks and historical data, and can include a concept drift analysis.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.