Learning SLA violation probability from intelligent fine grained probing
US11916777B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 6, 2021 |
| Grant date | Feb 27, 2024 |
| Priority date | — |
| Expiry date | Jul 6, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/12
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
In one embodiment, a device obtains a first set of measurements of a path metric for a path in a network that are measured using periodic probing of the path. The device obtains a second set of measurements of the path metric for the path that are measured using fine-grained probing of the path at a higher frequency than that of the periodic probing. The device generates a predictive model that predicts values of the path metric, based on the first set of measurements and on the second set of measurements. The device causes, based on a value of the path metric predicted by the predictive model, traffic to be rerouted from the path to another path in the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.