Big data analytics for the virtual network topology reconfiguration use case

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/91385

Title:	Big data analytics for the virtual network topology reconfiguration use case
Author:	Gifre Renom, Lluís; Morales Alcaide, Fernando; Velasco Esteban, Luis Domingo; Ruiz Ramírez, Marc
Other authors:	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors; Universitat Politècnica de Catalunya. GCO - Grup de Comunicacions Òptiques
Abstract:	ABNO's OAM Handler is extended with big data analytics capabilities to anticipate traffic changes in volume and direction. Predicted traffic is used to trigger virtual network topology re-optimization. When the virtual topology needs to be reconfigured, predicted and current traffic matrices are used to find the optimal topology. A heuristic algorithm to adapt current virtual topology to meet both actual demands and expected traffic matrix is proposed. Experimental assessment is carried out on UPC's SYNERGY testbed.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica -Optical communications -Fiber optic networks -Heuristic algorithms -Matrix algebra -Optimization -Reconfigurable hardware -Telecommunication traffic -Topology -Transparent optical networks -ABNO -Data analytics -Experimental assessment -Optimal topologies -Traffic monitoring -Virtual network topology -Virtual topologies -VNT reconfiguration -Comunicacions òptiques
Rights:	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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