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On the serviceability of mobile vehicular cloudlets in large-scale urban environment

On the serviceability of mobile vehicular cloudlets in large-scale urban environment
On the serviceability of mobile vehicular cloudlets in large-scale urban environment
Recently, cloud computing technology has been utilized to make vehicles on roads smarter and to offer better driving experience. Consequently, the concept of mobile vehicular cloudlet (MVC) was born, where nearby smart vehicles were connected to provide cloud computing services locally. Existing researches focus on MVC system models and architectures, and no work to date addresses the critical question of what is the potential, i.e., level of local cloud computing service, achievable by MVCs in real-world large-scale urban environments. This issue is fundamental to the practical implementation of MVC technology. Answering this question is also challenging becauseMVCs operate in highly complicated and dynamic environments. In this paper, we directly address this challenging issue and we introduce the concept of serviceability to measure the ability of an MVC to provide cloud computing service. In particular, we evaluate this measure in practical environments through a real-world vehicular mobility trace of Beijing. Using the time-varying graph model for mobile cloud computing under different scenarios, we find that the serviceability has a relationship with the delay tolerance of the undertaken computational task, which can be described by two characteristic parameters. The evolution of serviceability through a day and the influence of network congestion are also analyzed. We also portray the spatial distribution of the serviceability and analyze the influence of connectivity and mobility in both MVC and vehicle levels. Our observations are valuable to assist designing vehicular cloud computing systems and applications, as well as to help make offloading decisions
1524-9050
2960-2970
Wang, Chuanmeizhi
47c0f174-946a-4987-846c-bb00967eaa9b
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wang, Chuanmeizhi
47c0f174-946a-4987-846c-bb00967eaa9b
Li, Yong
0817e950-114f-47f3-aefe-74bf9ec0e2a3
Jin, Depeng
d5ef5d7e-82a7-4950-85cf-800fe7794cc5
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Wang, Chuanmeizhi, Li, Yong, Jin, Depeng and Chen, Sheng (2016) On the serviceability of mobile vehicular cloudlets in large-scale urban environment. IEEE Transactions on Intelligent Transportation Systems, 17 (10), 2960-2970. (doi:10.1109/TITS.2016.256).

Record type: Article

Abstract

Recently, cloud computing technology has been utilized to make vehicles on roads smarter and to offer better driving experience. Consequently, the concept of mobile vehicular cloudlet (MVC) was born, where nearby smart vehicles were connected to provide cloud computing services locally. Existing researches focus on MVC system models and architectures, and no work to date addresses the critical question of what is the potential, i.e., level of local cloud computing service, achievable by MVCs in real-world large-scale urban environments. This issue is fundamental to the practical implementation of MVC technology. Answering this question is also challenging becauseMVCs operate in highly complicated and dynamic environments. In this paper, we directly address this challenging issue and we introduce the concept of serviceability to measure the ability of an MVC to provide cloud computing service. In particular, we evaluate this measure in practical environments through a real-world vehicular mobility trace of Beijing. Using the time-varying graph model for mobile cloud computing under different scenarios, we find that the serviceability has a relationship with the delay tolerance of the undertaken computational task, which can be described by two characteristic parameters. The evolution of serviceability through a day and the influence of network congestion are also analyzed. We also portray the spatial distribution of the serviceability and analyze the influence of connectivity and mobility in both MVC and vehicle levels. Our observations are valuable to assist designing vehicular cloud computing systems and applications, as well as to help make offloading decisions

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Accepted/In Press date: 22 February 2016
Published date: October 2016
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 401085
URI: http://eprints.soton.ac.uk/id/eprint/401085
ISSN: 1524-9050
PURE UUID: b95196d1-0a25-41a6-92a9-6460dd7b2eef

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Date deposited: 07 Oct 2016 07:50
Last modified: 14 Jan 2021 19:17

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