Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFLA |
Texto Completo: | http://repositorio.ufla.br/jspui/handle/1/50490 |
Resumo: | The 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. |
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Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehiclesDynamic allocation of controllersSoftware-Defined NetworkHigh-density scenariosNFV-based MEC architectureAlocação dinâmica de controladoresRede definida por softwareCenários de alta densidadeThe 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.MDPI2022-07-06T21:41:29Z2022-07-06T21:41:29Z2021info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfSIMÕES, R.; DIAS, K.; MARTINS, R. Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles. Future Internet, [S. l.], v. 13, n. 11, 270, 2021. DOI: 10.3390/fi13110270.http://repositorio.ufla.br/jspui/handle/1/50490Future Internetreponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessSimões, RhodneyDias, KelvinMartins, Ricardoeng2022-07-06T21:41:29Zoai:localhost:1/50490Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2022-07-06T21:41:29Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false |
dc.title.none.fl_str_mv |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
title |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
spellingShingle |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles Simões, Rhodney Dynamic allocation of controllers Software-Defined Network High-density scenarios NFV-based MEC architecture Alocação dinâmica de controladores Rede definida por software Cenários de alta densidade |
title_short |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
title_full |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
title_fullStr |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
title_full_unstemmed |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
title_sort |
Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles |
author |
Simões, Rhodney |
author_facet |
Simões, Rhodney Dias, Kelvin Martins, Ricardo |
author_role |
author |
author2 |
Dias, Kelvin Martins, Ricardo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Simões, Rhodney Dias, Kelvin Martins, Ricardo |
dc.subject.por.fl_str_mv |
Dynamic allocation of controllers Software-Defined Network High-density scenarios NFV-based MEC architecture Alocação dinâmica de controladores Rede definida por software Cenários de alta densidade |
topic |
Dynamic allocation of controllers Software-Defined Network High-density scenarios NFV-based MEC architecture Alocação dinâmica de controladores Rede definida por software Cenários de alta densidade |
description |
The 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. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021 2022-07-06T21:41:29Z 2022-07-06T21:41:29Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
SIMÕES, R.; DIAS, K.; MARTINS, R. Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles. Future Internet, [S. l.], v. 13, n. 11, 270, 2021. DOI: 10.3390/fi13110270. http://repositorio.ufla.br/jspui/handle/1/50490 |
identifier_str_mv |
SIMÕES, R.; DIAS, K.; MARTINS, R. Dynamic allocation of SDN controllers in NFV-Based MEC for the Internet of vehicles. Future Internet, [S. l.], v. 13, n. 11, 270, 2021. DOI: 10.3390/fi13110270. |
url |
http://repositorio.ufla.br/jspui/handle/1/50490 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
Future Internet reponame:Repositório Institucional da UFLA instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Repositório Institucional da UFLA |
collection |
Repositório Institucional da UFLA |
repository.name.fl_str_mv |
Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
_version_ |
1807835067714633728 |