Invention Grant
- Patent Title: Predicting and mitigating layer-2 anomalies and instabilities
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Application No.: US15915335Application Date: 2018-03-08
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Publication No.: US10862910B2Publication Date: 2020-12-08
- Inventor: Alejandro Alberto Eguiarte Salazar , Nagendra Kumar Nainar , Richard Furr , Yogesh Thoppae Ramdoss
- 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: H04L29/06
- IPC: H04L29/06 ; H04L12/24 ; G06N20/00

Abstract:
In one embodiment, a server may receive both layer-2 topology information and layer-2 telemetry information from a plurality of layer-2 switches. The server may then apply behavioral learning to both the layer-2 topology information and the layer-2 telemetry information to detect layer-2 patterns that are indicative of one or more problematic layer-2 behaviors. As such, based on the behavioral learning, the server then creates predictive rules to be applied within layer-2 networks to predict the one or more problematic layer-2 behaviors. The predictive rules may then be used within a particular layer-2 network to cause i) prediction of one or more particular problematic layer-2 behaviors within the particular layer-2 network based on data from a plurality of switches within the particular layer-2 network, and ii) mitigation against the predicted one or more particular problematic layer-2 behaviors within the particular layer-2 network.
Public/Granted literature
- US20190281078A1 PREDICTING AND MITIGATING LAYER-2 ANOMALIES AND INSTABILITIES Public/Granted day:2019-09-12
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