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Demonstration of monitoring and data analytics-triggered reconfiguration in partially disaggregated optical networks

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[final] OFC 2020 - Demo SDN-based control loop.pdf (1,156Mb)
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10.1364/OFC.2020.M3Z.19
 
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hdl:2117/330623

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Gifré Renom, Lluís
Boitier, Fabien
Delezoide, Camille
Ruiz Ramírez, MarcMés informacióMés informacióMés informació
Buffa, Marta
Morea, Annalisa
Casellas Regi, Ramon
Velasco Esteban, Luis DomingoMés informacióMés informacióMés informació
Layec, Patricia
Document typeConference report
Defense date2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder
ProjectMETRO-HAUL - METRO High bandwidth, 5G Application-aware optical network, with edge storage, compUte and low Latency (EC-H2020-761727)
Abstract
We demonstrate a novel agent for optical disaggregated optical networks. When the Monitoring and Data Analytics detects a degradation, it recommends the SDN controller to trigger a network reconfiguration computed by a novel planning tool.
Description
©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitationGifré, L. [et al.]. Demonstration of monitoring and data analytics-triggered reconfiguration in partially disaggregated optical networks. A: Optical Fiber Communications Conference and Exposition. "2020 Optical Fiber Communications Conference and Exhibition (OFC 2020): San Diego, California, USA: 8-12 March 2020". Institute of Electrical and Electronics Engineers (IEEE), 2020, p. 1-3. ISBN 9781728167626. DOI 10.1364/OFC.2020.M3Z.19. 
URIhttp://hdl.handle.net/2117/330623
DOI10.1364/OFC.2020.M3Z.19
ISBN9781728167626
Publisher versionhttps://ieeexplore.ieee.org/document/9083329
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