Performance data analysis to reduce false alerts in a hybrid cloud environment
US11210155B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 9, 2021 |
| Grant date | Dec 28, 2021 |
| Priority date | — |
| Expiry date | Jun 9, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/865
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspects of the invention include a computer-implemented method that includes converting runtime data points that are indicative of an influence of the runtime data points on a robustness and performance of a computing system. The runtime data points are clustered, wherein each cluster respectively represents a temporal state of the computing system. Each cluster is translated into a three-dimensional representation based on a probability density of the runtime data points of each cluster. A time-based vector is generated, where the vector describes a transition from a first three-dimensional representation to a second three-dimensional representation. Each three-dimensional representation traversed by the time-based vector represents a respective state of the computing system. The time-based vector is compared with a baseline vector. An anomaly alert is issued based at least in part on the comparison.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.