Identifying anomalies in a data center using composite metrics and/or machine learning
US11966319B2 · kind B2 · utility
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5References
30Claims
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Key dates
| Filing date | Feb 23, 2021 |
| Grant date | Apr 23, 2024 |
| Priority date | — |
| Expiry date | Jul 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F11/3452
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for data-center management includes, in a data center including multiple components, monitoring a plurality of performance measures of the components. A set of composite metrics is automatically defined, each composite metric including a respective weighted combination of two or more performance measures from among the performance measures. Baseline values are established for the composite metrics. An anomalous deviation is detected of one or more of the composite metrics from the respective baseline values.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.