Optical network automation [Invited tutorial]
Document typeConference lecture
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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ProjectCOGNITIVE 5G APPLICATION-AWARE OPTICAL METRO NETWORKS INTEGRATING MONITORING, DATA ANALYTICS AND OPTIMIZATION (AEI-TEC2017-90097-R)
Increased levels of automation will be necessary in view of more stringent performance requirements that next generation optical transport networks need to support in a near term, not only for high capacity, but, even more importantly, for dynamicity, latency, and availability. All these aspects will become more relevant with the growing complexity of modern networks. Network automation targets resource reoptimization to rapidly adapt the network to the expected conditions, quick degradation detection to improve the quality of the connections, as well as failure detection and identification to facilitate maintenance. Network automation requires and implies the collection of data for performance monitoring, being then elaborated by data analytics algorithms to produce meaningful inputs for the network controller, which will finally program the underlying devices. In this paper, we analyze alternative architectures for monitoring and data analytics (MDA) and illustrative control loops are presented aiming at validating the usefulness of MDA to automate optical networks operation.
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CitationVelasco, L.; Ruiz, M. Optical network automation [Invited tutorial]. A: International Conference on Transparent Optical Networks. "2020 22nd International Conference on Transparent Optical Networks (ICTON): July 19th-23rd, 2020: Bari, Italy". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-4. ISBN 978-1-7281-8424-1. DOI 10.1109/ICTON51198.2020.9203280.