Application state prediction using component state
US11675687B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 1, 2020 |
| Grant date | Jun 13, 2023 |
| Priority date | — |
| Expiry date | Feb 6, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Described systems and techniques enable prediction of a state of an application at a future time, with high levels of accuracy and specificity. Accordingly, operators may be provided with sufficient warning to avert poor user experiences. Unsupervised machine learning techniques may be used to characterize current states of applications and underlying components in a standardized manner. The resulting data effectively provides labelled training data that may then be used by supervised machine learning algorithms to build state prediction models. Resulting state prediction models may then be deployed and used to predict an application state of an application at a specified future time.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.