NETWORK AUTO-CORRECT DRIVEN BY MACHINE LEARNING
Publication Date: 2016-Nov-21
The IP.com Prior Art Database
Presented herein are machine learning classification and "recommender" algorithms to construct a network policy over an existing configuration command-driven "brown field" network. Based on the network policy, the system can "auto-correct" configuration changes that are out-of-policy. The result is a network with fewer configuration mistakes and configuration-driven downtime, which is the major cause of unplanned downtime.