Predictive routing using machine learning in SD-WANs
US11159447B2 · kind B2 · utility
3Cited by
8References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Mar 25, 2019 |
| Grant date | Oct 26, 2021 |
| Priority date | — |
| Expiry date | Apr 18, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L45/64
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a supervisory service for a software-defined wide area network (SD-WAN) obtains telemetry data from one or more edge devices in the SD-WAN. The service trains, using the telemetry data as training data, a machine learning-based model to predict tunnel failures in the SD-WAN. The service receives feedback from the one or more edge devices regarding failure predictions made by the trained machine learning-based model. The service retrains the machine learning-based model, based on the received feedback.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.