Fault management based on machine learning
Visualitza/Obre
Cita com:
hdl:2117/169768
Tipus de documentText en actes de congrés
Data publicació2019
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
ProjecteCOGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)
METRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
METRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
Abstract
Machine Learning (ML) brings many benefits for network operation. In this paper, basic ML concepts and its integration into existing network control and management planes are reviewed. Case studies covering fault management are illustrated.
Descripció
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CitacióVelasco, L.; Rafique, D. Fault management based on machine learning. A: Optical Fiber Communications Conference and Exposition. "Optical Fiber Communication Conference 2019, San Diego, California, United States, 3-7 March 2019". Institute of Electrical and Electronics Engineers (IEEE), 2019, article 8696927, p. 1-3.
ISBN978-1-943580-53-8
Versió de l'editorhttps://ieeexplore.ieee.org/document/8696927
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[OFC] Fault Man ... ed on Machine Learning.pdf | 478,1Kb | Visualitza/Obre |