Demonstration of a Scalable and Efficient Pipeline for ML-Based Optical Monitoring (M3Z.12)
Presenter: Carlos Natalino da Silva, Chalmers University of Technology
We demonstrate a scalable processing of OPM data using ML to detect anomalies in optical services at run time. A dashboard will show operational SDN controller metrics, raw OPM data, and the ML assessment results.
Authors:Carlos Natalino da Silva, Chalmers University of Technology / Lluis Gifre Renom, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA) / Raul Muñoz, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA) / Ricard Vilalta, Centre Tecnologic de Telecomunicacions de Catalunya (CTTC/CERCA) / Marija Furdek, Chalmers University of Technology / Paolo Monti, Chalmers University of Technology