Invention Grant
- Patent Title: Network configuration change analysis using machine learning
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Application No.: US15942665Application Date: 2018-04-02
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Publication No.: US10680889B2Publication Date: 2020-06-09
- Inventor: Jean-Philippe Vasseur , Vinay Kumar Kolar , Santosh Ghanshyam Pandey
- Applicant: Cisco Technology, Inc.
- Applicant Address: US CA San Jose
- Assignee: Cisco Technology, Inc.
- Current Assignee: Cisco Technology, Inc.
- Current Assignee Address: US CA San Jose
- Agency: Behmke Innovation Group LLC
- Agent James M. Behmke; Jonathon P. Western
- Main IPC: H04L12/24
- IPC: H04L12/24 ; H04L12/26 ; G06N5/04 ; G06N20/00

Abstract:
In one embodiment, a network assurance service that monitors one or more networks receives data indicative of networking device configuration changes in the one or more networks. The service also receives one or more performance indicators for the one or more networks. The service trains a machine learning model based on the received data indicative of the networking device configuration changes and on the received one or more performance indicators for the one or more networks. The service predicts, using the machine learning model, a change in the one or more performance indicators that would result from a particular networking device configuration change. The service causes the particular networking device configuration change to be made in the network based on the predicted one or more performance indicators.
Public/Granted literature
- US20190306023A1 NETWORK CONFIGURATION CHANGE ANALYSIS USING MACHINE LEARNING Public/Granted day:2019-10-03
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