PIGGYBACKING CONTROL amp; DATA PLANE TELEMETRY FOR MACHINE LEARNING-BASED TUNNEL FAILURE PREDICTION

摘要

In one embodiment, a device identifies one or more telemetry data variables for use to predict failure of a tunnel in a software-defined wide area network (SD-WAN). The device sends a Bidirectional Forwarding Detection (BFD)-based telemetry request towards a tail-end router of the tunnel that requests the one or more telemetry data variables. The device receives the requested one or more telemetry data variables. The device uses the received one or more telemetry data variables as input to a machine learning-based model, to predict a failure of the tunnel.