Techniques are presented for automatic link failure prediction and detection with an automatic troubleshooting capability to quickly identify switches/ports involved in the failure before the failure leads to a complete outage. A framework to predict the failure and easily handoff all routing protocols to an alternate path is provided. Such prediction helps a network to react before a failure occurs. Almost zero traffic loss during a failure may be achieved by predicting the failure in advance.
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Babu, Karthik Babu Harichandra; Huang, Xinyuan; Anand, Ajay; and Mishra, Mankamana, "METHOD AND APPARATUS FOR AUTOMATED LINK FAILURE DETECTION IN NETWORKS USING MACHINE LEARNING", Technical Disclosure Commons, (June 15, 2020)