Discovery of port-to-port connectivity across network layers using machine learning
US11057278B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 8, 2020 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Jun 8, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/0811
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods for discovering the connectivity topology of cross-layer links in a multi-layer network are provided. In one implementation, a method includes a step of obtaining input data related to a plurality of Network Elements (NEs) operating in a plurality of layers within a multi-layer network having one or more cross-layer port-to-port connectivity links therebetween. The method also includes the step of utilizing Machine Learning (ML) processes and the input data to discover the one or more cross-layer port-to-port connectivity links between pairs of NEs operating in different layers of the plurality of layers within the network.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.