Cisco Systems, Inc.
Predicting wireless access point radio failures using machine learning

Abstract:

In one embodiment, a network assurance system that monitors a network forms a cluster of similarly behaving wireless access points (APs). The cluster includes APs associated with different software versions. The network assurance system trains a machine learning-based failure prediction model for the cluster based on a set of features of the APs in the cluster. The network assurance system proactively triggers a client in the network to roam from a first AP to a second AP, based on the failure prediction model predicting a failure of the first AP. The network assurance system quarantines the failure prediction model when a new software version is associated with one or more of the APs.