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Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks

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Abstract

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.

© 2022 The Author(s)

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