Invention Grant
- Patent Title: Machine learning approach for dynamic adjustment of BFD timers in SD-WAN networks
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Application No.: US17330720Application Date: 2021-05-26
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Publication No.: US11616712B2Publication Date: 2023-03-28
- Inventor: Jean-Philippe Vasseur , Vinay Kumar Kolar , Grégory Mermoud
- 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: H04L43/103
- IPC: H04L43/103 ; H04L41/0654 ; H04L41/0631 ; H04L43/0823

Abstract:
In one embodiment, a device obtains performance data regarding failures of a tunnel in a network. The device generates a failure profile for the tunnel by applying machine learning to the performance data regarding the failures of the tunnel. The device determines, based on the failure profile for the tunnel, whether the tunnel exhibits failure flapping behavior. The device adjusts one or more Bidirectional Forwarding Detection (BFD) probing timers used to detect failures of the tunnel, based on the determination as to whether the tunnel exhibits failure flapping behavior.
Public/Granted literature
- US20210281504A1 MACHINE LEARNING APPROACH FOR DYNAMIC ADJUSTMENT OF BFD TIMERS IN SD-WAN NETWORKS Public/Granted day:2021-09-09
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