Microservice-Based Unsupervised Anomaly Detection Loop for Optical Networks
Paper in proceeding, 2016

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.

Author

Carlos Natalino Da Silva

Optical Networks

Other publications Research

Carlos Manso

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Lluis Gifre

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Raul Munoz

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Ricard Vilalta

Centre Tecnològic de Telecomunicacions de Catalunya (CTTC)

Marija Furdek Prekratic

Optical Networks

Other publications Research

Paolo Monti

Optical Networks

Other publications Research

Optics InfoBase Conference Papers

Vol. 2016 Th3D.4
978-194358007-1 (ISBN)

Optical Fiber Communication Conference, OFC 2016
Anaheim, USA,

Subject Categories

Computer Engineering

Communication Systems

Bioinformatics (Computational Biology)

Computer Science

Computer Systems

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Latest update

7/5/2023 1

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