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 result. This demo shows that with this proposal it becomes easy to diagnose thousands of optical channels using ML.

Author/s
Carlos Natalino
Lluis Gifre
Raul Muñoz
Ricard Vilalta
Marija Furdek
Paolo Monti