Virtual network topology adaptability based on data analytics for traffic prediction

© 2017 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 se...

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Bibliographic Details
Authors: Morales Alcaide, Fernando|||0000-0001-7337-1775, Ruiz Ramírez, Marc|||0000-0001-6429-6347, Gifre Renom, Lluís, Contreras Murillo, Luis Miguel, López Álvarez, Victor, Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
Format: article
Publication Date:2017
Country:España
Institution:Universitat Politècnica de Catalunya (UPC)
Repository:UPCommons. Portal del coneixement obert de la UPC
Language:English
OAI Identifier:oai:upcommons.upc.edu:2117/113163
Online Access:https://hdl.handle.net/2117/113163
https://dx.doi.org/10.1364/JOCN.9.000A35
Access Level:Open access
Keyword:Optical communications
Machine learning for traffic prediction
Multilayer networks
Virtual network topology reconfiguration
Comunicacions òptiques
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
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Summary:© 2017 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.

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