Cost anomaly detection in cloud data protection
US11347616B2 · kind B2 · utility
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16Claims
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Key dates
| Filing date | Jun 28, 2019 |
| Grant date | May 31, 2022 |
| Priority date | — |
| Expiry date | Jul 26, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/805
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for detecting cost anomalies in a data protection system. Data is collected for assets of a data protection system operating in a cloud. The data often relates to cost and may constitute time series. The time series are then analyzed by performing a fitting competition using multiple models. The best fitting model is selected and the residuals are analyzes to find outliers and produce a normal zone for the signal. The outliers can identify cost anomalies that may reflect the health of the data protection system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.