Demo paper: “Demonstration of a Scalable and Efficient Pipeline for ML-based Optical Monitoring”

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.