Dynamic Allocation of SDN Controllers in NFV-Based MEC for the Internet of Vehicles

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 Software-Defined Network (SDN...

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Autores principales:	Rhodney Simões, Kelvin Dias, Ricardo Martins
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	dynamic allocation of controllers SDN NFV-based MEC architecture IoV high-density scenarios Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/206af43d342d47e5a75d93b6da29e601
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id	oai:doaj.org-article:206af43d342d47e5a75d93b6da29e601
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spelling	oai:doaj.org-article:206af43d342d47e5a75d93b6da29e6012021-11-25T17:39:36ZDynamic Allocation of SDN Controllers in NFV-Based MEC for the Internet of Vehicles10.3390/fi131102701999-5903https://doaj.org/article/206af43d342d47e5a75d93b6da29e6012021-10-01T00:00:00Zhttps://www.mdpi.com/1999-5903/13/11/270https://doaj.org/toc/1999-5903The 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 Software-Defined 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.Rhodney SimõesKelvin DiasRicardo MartinsMDPI AGarticledynamic allocation of controllersSDNNFV-based MEC architectureIoVhigh-density scenariosInformation technologyT58.5-58.64ENFuture Internet, Vol 13, Iss 270, p 270 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	dynamic allocation of controllers SDN NFV-based MEC architecture IoV high-density scenarios Information technology T58.5-58.64
spellingShingle	dynamic allocation of controllers SDN NFV-based MEC architecture IoV high-density scenarios Information technology T58.5-58.64 Rhodney Simões Kelvin Dias Ricardo Martins Dynamic Allocation of SDN Controllers in NFV-Based MEC for the Internet of Vehicles
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 Software-Defined 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.
format	article
author	Rhodney Simões Kelvin Dias Ricardo Martins
author_facet	Rhodney Simões Kelvin Dias Ricardo Martins
author_sort	Rhodney Simões
title	Dynamic Allocation of SDN Controllers in NFV-Based MEC for the Internet of Vehicles
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
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/206af43d342d47e5a75d93b6da29e601
work_keys_str_mv	AT rhodneysimoes dynamicallocationofsdncontrollersinnfvbasedmecfortheinternetofvehicles AT kelvindias dynamicallocationofsdncontrollersinnfvbasedmecfortheinternetofvehicles AT ricardomartins dynamicallocationofsdncontrollersinnfvbasedmecfortheinternetofvehicles
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Dynamic Allocation of SDN Controllers in NFV-Based MEC for the Internet of Vehicles

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