Action recommendation engine (ARE) of a closed-loop machine learning (ML) system for controlling a network
US11316752B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 4, 2020 |
| Grant date | Apr 26, 2022 |
| Priority date | — |
| Expiry date | Jun 4, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L43/028
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Systems and methods for recommending actions in a closed-loop system are provided. In one embodiment, an Action Recommendation Engine (ARE) may include a processor and memory configured to store computer programs having instructions that cause the processor to obtain input data pertaining to a state of a network and obtain information regarding one or more historical actions performed on the network. Also, the instructions may cause the processor to utilize a Machine Learning (ML) model for imposing one or more current actions on the network, the one or more current actions selected from the group of procedures consisting of: a) suggesting one or more remediation actions that, when performed, transition the network from a problematic state to a normal state, and b) identifying one or more root causes in response to detecting a transition in the network from a normal state to a problematic state.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.