Failure prediction in distributed environments
US11928016B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 9, 2019 |
| Grant date | Mar 12, 2024 |
| Priority date | — |
| Expiry date | Feb 3, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L41/0686
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments of the invention are directed to systems, method, and devices for detecting failures in distributed systems. A failure detection platform may identify anomalies in time series data, the time series data corresponding to historical network messages. The anomalies can be labeled and used to train a first predictive model. At least one other model may be trained using the time series data, the anomaly labels and a supervised machine-learning algorithm. A third model can be trained to identify a system failure based at least in part on the outputs provided by the first and the second model. The third model, once trained, can be utilized to predict a future system failure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.