Scalable Architecture for Cloud-native Transport SDN Controller Using GNPy and Machine Learning techniques for QoT estimation

This demo shows a cloud-native SDN controller that can estimate end-to-end QoT using both analytical (GNPy) and machine learning algorithms on WDM systems. This transport SDN controller is able to scale horizontally using custom metrics. © 2021 The Author(s)Grant numbers : AURORAS - Autonomic and disaggregated optical networks leveraging edge computing and photonic technologies (RTI2018-099178-B-I00) project