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dc.contributor.authorRuiz Pérez, Lidia es_ES
dc.contributor.authorDurán Barroso, Ramón José es_ES
dc.contributor.authorMiguel Jiménez, Ignacio de es_ES
dc.contributor.authorKhodashenas, Pouria Sayyad es_ES
dc.contributor.authorPedreño Manresa, José Juan 
dc.contributor.authorMerayo Álvarez, Noemí es_ES
dc.contributor.authorAguado Manzano, Juan Carlos es_ES
dc.contributor.authorPavón Mariño, Pablo es_ES
dc.contributor.authorSiddiqui, Shuaib es_ES
dc.contributor.authorMata, Javier es_ES
dc.contributor.authorFernández Reguero, Patricia es_ES
dc.contributor.authorLorenzo Toledo, Rubén Mateo es_ES
dc.contributor.authorAbril Domingo, Evaristo José es_ES
dc.identifier.citationRuiz, L.; Durán, R.J.; De Miguel, I.; Khodashenas, P.S.; Pedreño-Manresa, J.-J.; Merayo, N.; Aguado, J.C.; Pavón-Marino, P.; Siddiqui, S.; Mata, J.; Fernández, P.; Lorenzo, R.M.; Abril, E.J. A Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectures. Appl. Sci. 2018, 8, 2614.
dc.description.abstract5G technologies promise to bring new network and service capacities and are expected to introduce significant architectural and service deployment transformations. The Cloud-Radio Access Networks (C-RAN) architecture, enabled by the combination of Software Defined Networking (SDN), Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) technologies, play a key role in the development of 5G. In this context, this paper addresses the problems of Virtual Network Functions (VNF) provisioning (VNF-placement and service chain allocation) in a 5G network. In order to solve that problem, we propose a genetic algorithm that, considering both computing resources and optical network capacity, minimizes both the service blocking rate and CPU usage. In addition, we present an algorithm extension that adds a learning stage and evaluate the algorithm performance benefits in those scenarios where VNF allocations can be reconfigured. Results reveal and quantify the advantages of reconfiguring the VNF mapping depending on the current demands. Our methods outperform previous proposals in the literature, reducing the service blocking ratio while saving energy by reducing the number of active core CPUses_ES
dc.description.sponsorshipMinisterio de Economía, Industria y Competitividad (Project TEC2014-53071-C3-2-P, TEC2017-84423-C3-1-P, TEC2015-71932-REDT) Ministerio de Educación, Cultura y Deporte (Proyect BES-2015-074514 and FPU14/04227es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.titleA genetic algorithm for VNF provisioning in NFV-enabled cloud/MEC RAN architectureses_ES
dc.subjectOptical networkes_ES
dc.subjectGenetic algorithmes_ES
dc.subjectVNF Scalinges_ES
dc.subjectNetwork planninges_ES
dc.subject.otherIngeniería Telemáticaes_ES
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses_ES
dc.contributor.funderMinisterio de Economía, Industria y Competitividades_ES
dc.contributor.funderMinisterio de Educación, Cultura y Deportees_ES

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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España