Congestion detection using machine learning on arbitrary end-to-end paths
US11470005B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 15, 2020 |
| Grant date | Oct 11, 2022 |
| Priority date | — |
| Expiry date | Mar 31, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L12/4633
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device predicts a range of bitrates expected to be required by one or more applications associated with traffic conveyed via a particular path in a network. The device obtains telemetry data indicative of observed bitrates associated with the traffic conveyed via the particular path in the network. The device identifies, a presence of congestion along the particular path in the network, by comparing the observed bitrates to the range of bitrates expected to be required by the one or more applications. The device causes at least a portion of the traffic to be re-routed from the particular path to a second path in the network, when the device identifies the presence of congestion along the particular path.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.