Network traffic flow management using machine learning
US9967188B2 · kind B2 · utility
6Cited by
1References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Sep 3, 2015 |
| Grant date | May 8, 2018 |
| Priority date | — |
| Expiry date | Jun 4, 2036 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L47/2441
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A system and method for management of network traffic flow for one or more networks of interconnected computing devices, including predicting one or more types of network traffic data flows using a Machine Learning (ML) classifier, and updating the ML classifier according to identified changes in the network traffic data flows. Using software-defined-networking (SDN) tools and an updated ML classifier, training data is generated to formulate accurate new predictions of the one or more types of network traffic data flows. Network traffic flow is regulated based on the generated new predictions.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.