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dc.contributor.authorMasoumi, Maryam
dc.contributor.authorMiguel Jiménez, Ignacio de 
dc.contributor.authorDurán Barroso, Ramón José 
dc.contributor.authorHosseini, Soheil
dc.contributor.authorKanwal Janjua, Hafiza
dc.contributor.authorMerayo Álvarez, Noemí 
dc.contributor.authorAguado Manzano, Juan Carlos 
dc.contributor.authorLorenzo Toledo, Rubén Mateo 
dc.date.accessioned2023-10-26T10:57:53Z
dc.date.available2023-10-26T10:57:53Z
dc.date.issued2023
dc.identifier.citationes
dc.identifier.citationIn: Mehmood, R., et al. Distributed Computing and Artificial Intelligence, Special Sessions I, 20th International Conference. DCAI 2023. Lecture Notes in Networks and Systems
dc.identifier.citation
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/62378
dc.descriptionProducción Científicaes
dc.description.abstractMulti-Access Edge Computing (MEC) and Network Function Virtualization (NFV) have emerged as promising technologies for providing low-latency and high-bandwidth services to mobile users through Service Function Chains (SFCs) consisting of Virtual Network Functions (VNFs). However, the efficient utilization of network resources and optimal placement of MECs to host VNFs remain challenging issues in NFV-based dynamic networks. Since the proximity of MEC nodes to end-users and the availability of resources at the location impact the blocking ratio in VNF placement, in this paper we analyze the impact of the location of the set of MEC resources in the network. Thus, starting from the work previously done related to the VNF placement scheme with different protection methods to accommodate services in MEC nodes, we conduct a simulation to evaluate the impact of different MEC locations on the blocking ratio. Our results demonstrate that strategic placement of MEC locations can significantly reduce the blocking ratio.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherSpringer
dc.publisher
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.classificationVNF Placement
dc.subject.classificationMEC Location
dc.subject.classificationBlocking Ratio
dc.subject.classification
dc.subject.classification
dc.titleEfficient Protected VNF Placement and MEC Location Selection for Dynamic Service Provisioning in 5G Networkses
dc.typeinfo:eu-repo/semantics/bookPartes
dc.identifier.doi10.1007/978-3-031-38318-2_44
dc.identifier.doi
dc.relation.publisherversionhttps://doi.org/10.1007/978-3-031-38318-2_44
dc.relation.publisherversion
dc.description.projectEU H2020 MSCA ITN-ETN IoTalentum (grant no. 953442)
dc.description.projectConsejería de Educación de la Junta de Castilla y León y FEDER (VA231P20)
dc.description.projectMinisterio de Ciencia e Innovación y Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033)
dc.description.projectEU H2020 MSCA ITN-ETN IoTalentum (grant no. 953442)
dc.description.projectMinisterio de Ciencia e Innovación y Agencia Estatal de Investigación (Proyecto PID2020-112675RB-C42 financiado por MCIN/AEI/10.13039/501100011033)
dc.description.projectConsejería de Educación de la Junta de Castilla y León y FEDER (VA231P20)
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones


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