Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSimões, Rhodney-
Autor(es): dc.creatorDias, Kelvin-
Autor(es): dc.creatorMartins, Ricardo-
Data de aceite: dc.date.accessioned2026-02-09T11:19:51Z-
Data de disponibilização: dc.date.available2026-02-09T11:19:51Z-
Data de envio: dc.date.issued2022-07-06-
Data de envio: dc.date.issued2022-07-06-
Data de envio: dc.date.issued2020-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/50490-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1138596-
Descrição: dc.descriptionThe expected huge amount of connected cars and applications with varying Quality of Service (QoS) demands still depend on agile/flexible networking infrastructure to deal with dynamic service requests to the control plane, which may become a bottleneck for 5G and Beyond SoftwareDefined Network (SDN) based Internet of Vehicles (IoV). At the heart of this issue is the need for an architecture and optimization mechanisms that benefit from cutting edge technologies while granting latency bounds in order to control and manage the dynamic nature of IoV. To this end, this article proposes an autonomic software-defined vehicular architecture grounded on the synergy of Multi-access Edge Computing (MEC) and Network Functions Virtualization (NFV) along with a heuristic approach and an exact model based on linear programming to efficiently optimize the dynamic resource allocation of SDN controllers, ensuring load balancing between controllers and employing reserve resources for tolerance in case of demand variation. The analyses carried out in this article consider: (a) to avoid waste of limited MEC resources, (b) to devise load balancing among controllers, (c) management complexity, and (d) to support scalability in dense IoV scenarios. The results show that the heuristic efficiently manages the environment even in highly dynamic and dense scenarios.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Publicador: dc.publisherMDPI-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsAttribution 4.0 International-
Direitos: dc.rightsacesso aberto-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
Direitos: dc.rightshttp://creativecommons.org/licenses/by/4.0/-
???dc.source???: dc.sourceFuture Internet-
Palavras-chave: dc.subjectDynamic allocation of controllers-
Palavras-chave: dc.subjectSoftware-Defined Network-
Palavras-chave: dc.subjectHigh-density scenarios-
Palavras-chave: dc.subjectNFV-based MEC architecture-
Palavras-chave: dc.subjectAlocação dinâmica de controladores-
Palavras-chave: dc.subjectRede definida por software-
Palavras-chave: dc.subjectCenários de alta densidade-
Título: dc.titleDynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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