Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
Carlos Natalino, Carlos Manso, Lluís Gifre, Raül Muñoz, Ricard Vilalta, Marija Furdek, Paolo Monti · 2022
Unsupervised learning (UL) is a technique to detect previously unseen anomalies without needing labeled datasets. We propose the integration of a scalable UL-based inference component in the monitoring loop of an SDN-controlled optical network.