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NETWORK AUTO-CORRECT DRIVEN BY MACHINE LEARNING

IP.com Disclosure Number: IPCOM000248365D
Publication Date: 2016-Nov-21
Document File: 6 page(s) / 831K

Publishing Venue

The IP.com Prior Art Database

Related People

Authors:
Joe Clarke Carlos M. Pignataro Ganesh Kondaveeti Bharath Kumar Gubbala [+details]

Abstract

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.