Dynamic SD-WAN hub cluster scaling with machine learning
US11979325B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 5, 2022 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Jan 5, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/02
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Some embodiments of the invention provide a method of dynamically scaling a hub cluster in a software-defined wide area network (SD-WAN) based on particular traffic statistics, the hub cluster being located in a datacenter of the SD-WAN and allowing branch sites of the SD-WAN to access resource of the datacenter by connecting to the hub cluster. A controller of the SD-WAN receives, from the hub cluster, traffic statistics centrally captured at the hub cluster. The controller then analyzes these statistics to identify traffic load fluctuations, and determines that a number of hubs in the hub cluster should be adjusted based on the identified fluctuations. The controller adjusts the number of hubs in the hub cluster based on the determination.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.