Failure prediction in a computing system based on machine learning applied to alert data
US11829233B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 14, 2022 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Jan 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F2201/88
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment may involve persistent storage containing a machine learning trainer application configured to apply one or more learning algorithms. One or more processors may be configured to: obtain alert data from one or more computing systems; generate training vectors from the alert data, wherein elements within each of the training vectors include: results of a set of statistics applied to the alert data for a particular computing system of the one or more computing systems, and an indication of whether the particular computing system is expected to fail given its alert data; train, using the machine learning trainer application and the training vectors, a machine learning model, wherein the machine learning model is configured to predict failure of a further computing system based on operational alert data obtained from the further computing system; and deploy the machine learning model for production use.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.