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dc.contributor.authorRuiz Pérez, Lidia 
dc.contributor.authorDurán Barroso, Ramón J. 
dc.contributor.authorDe Miguel, Ignacio 
dc.contributor.authorKhodashenas, Pouria S. 
dc.contributor.authorPedreño Manresa, José Juan 
dc.contributor.authorMerayo, Noemí 
dc.contributor.authorAguado, Juan C. 
dc.contributor.authorPavón Mariño, Pablo 
dc.contributor.authorSiddiqui, Shuaib 
dc.contributor.authorMata, Javier 
dc.contributor.authorFernández, Patricia 
dc.contributor.authorLorenzo, Rubén M. 
dc.contributor.authorAbril, Evaristo J. 
dc.date.accessioned2019-05-09T12:30:19Z
dc.date.available2019-05-09T12:30:19Z
dc.date.issued2018-12-13
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.es_ES
dc.identifier.issn2076-3417
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.formatapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relation.urihttps://www.mdpi.com/2076-3417/8/12/2614es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.titleA Genetic Algorithm for VNF Provisioning in NFV-Enabled Cloud/MEC RAN Architectureses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.subject.otherIngeniería Telemáticaes_ES
dc.subjectOptical networkes_ES
dc.subjectVNF-Provisioninges_ES
dc.subjectGenetic algorithmes_ES
dc.subjectVNF Scalinges_ES
dc.subjectNetwork planninges_ES
dc.identifier.urihttp://hdl.handle.net/10317/7765
dc.peerreviewSies_ES
dc.identifier.doi10.3390/app8122614
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses_ES


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