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Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration
Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow swit...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070508/ https://www.ncbi.nlm.nih.gov/pubmed/32079352 http://dx.doi.org/10.3390/s20041092 |
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author | Nkenyereye, Lionel Nkenyereye, Lewis Adhi Tama, Bayu Reddy, Alavalapati Goutham Song, JaeSeung |
author_facet | Nkenyereye, Lionel Nkenyereye, Lewis Adhi Tama, Bayu Reddy, Alavalapati Goutham Song, JaeSeung |
author_sort | Nkenyereye, Lionel |
collection | PubMed |
description | Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications. In addition, the migration of Virtual Machines (VM) over SDVC challenges the performance of cloud-based vehicular applications due the highly mobility of vehicles. However, the current literature that discusses VM migration in SDVC is very limited. In this paper, we first analyze the evolution of computation and networking technologies of SDVC with a focus on its architecture within the cloud-based vehicular environment. Then, we discuss the potential cloud-based vehicular applications assisted by the SDVC along with its ability to manage several VM migration scenarios. Lastly, we provide a detailed comparison of existing frameworks in SDVC that integrate the VM migration approach and different emulators or simulators network used to evaluate VM frameworks’ use cases. |
format | Online Article Text |
id | pubmed-7070508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70705082020-03-19 Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration Nkenyereye, Lionel Nkenyereye, Lewis Adhi Tama, Bayu Reddy, Alavalapati Goutham Song, JaeSeung Sensors (Basel) Article Cloud computing supports many unprecedented cloud-based vehicular applications. To improve connectivity and bandwidth through programmable networking architectures, Software- Defined (SD) Vehicular Network (SDVN) is introduced. SDVN architecture enables vehicles to be equipped with SDN OpenFlow switch on which the routing rules are updated from a SDN OpenFlow controller. From SDVN, new vehicular architectures are introduced, for instance SD Vehicular Cloud (SDVC). In SDVC, vehicles are SDN devices that host virtualization technology for enabling deployment of cloud-based vehicular applications. In addition, the migration of Virtual Machines (VM) over SDVC challenges the performance of cloud-based vehicular applications due the highly mobility of vehicles. However, the current literature that discusses VM migration in SDVC is very limited. In this paper, we first analyze the evolution of computation and networking technologies of SDVC with a focus on its architecture within the cloud-based vehicular environment. Then, we discuss the potential cloud-based vehicular applications assisted by the SDVC along with its ability to manage several VM migration scenarios. Lastly, we provide a detailed comparison of existing frameworks in SDVC that integrate the VM migration approach and different emulators or simulators network used to evaluate VM frameworks’ use cases. MDPI 2020-02-17 /pmc/articles/PMC7070508/ /pubmed/32079352 http://dx.doi.org/10.3390/s20041092 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Nkenyereye, Lionel Nkenyereye, Lewis Adhi Tama, Bayu Reddy, Alavalapati Goutham Song, JaeSeung Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title | Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title_full | Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title_fullStr | Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title_full_unstemmed | Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title_short | Software-Defined Vehicular Cloud Networks: Architecture, Applications and Virtual Machine Migration |
title_sort | software-defined vehicular cloud networks: architecture, applications and virtual machine migration |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070508/ https://www.ncbi.nlm.nih.gov/pubmed/32079352 http://dx.doi.org/10.3390/s20041092 |
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