Soft Failure Localization Using Machine Learning with SDN-based Network-wide Telemetry

Abstract

Targeting soft failure localization, we present a machine learning approach using SDN streaming telemetry of network-wide parameters. The artificial neural network only requires a few training scenarios to achieve adequate interpolation performance. The framework implementation is validated using gNMI telemetry in an emulated NSFNet topology.