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Fog vehicular computing : augmentation of fog computing using vehicular cloud computing
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Sookhak, Mehdi, Yu, Richard, He, Ying, Talebian, Hamid, Sohrabi Safa, Nader , Zhao, Nan, Khan, Muhammad Khurram and Kumar, Neeraj (2017) Fog vehicular computing : augmentation of fog computing using vehicular cloud computing. IEEE Vehicular Technology Magazine, 12 (3). pp. 55-64. doi:10.1109/MVT.2017.2667499 ISSN 1556-6072.
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Official URL: http://dx.doi.org/10.1109/MVT.2017.2667499
Abstract
Fog computing has emerged as a promising solution for accommodating the surge of mobile traffic and reducing latency, both known to be inherent problems of cloud computing. Fog services, including computation, storage, and networking, are hosted in the vicinity of end users (edge of the network), and, as a result, reliable access is provisioned to delay-sensitive mobile applications. However, in some cases, the fog computing capacity is overwhelmed by the growing number of demands from patrons, particularly during peak hours, and this can subsequently result in acute performance degradation. In this article, we address this problem by proposing a new concept called fog vehicular computing (FVC) to augment the computation and storage power of fog computing. We also design a comprehensive architecture for FVC and present a number of salient applications. The result of implementation clearly shows the effectiveness of the proposed architecture. Finally, some open issues and envisioned directions are discussed for future research in the context of FVC.
Item Type: | Journal Article | ||||||||
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Subjects: | Q Science > QA Mathematics T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||
Library of Congress Subject Headings (LCSH): | Cloud computing, Automotive computers | ||||||||
Journal or Publication Title: | IEEE Vehicular Technology Magazine | ||||||||
Publisher: | IEEE | ||||||||
ISSN: | 1556-6072 | ||||||||
Official Date: | September 2017 | ||||||||
Dates: |
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Volume: | 12 | ||||||||
Number: | 3 | ||||||||
Page Range: | pp. 55-64 | ||||||||
DOI: | 10.1109/MVT.2017.2667499 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 21 August 2017 | ||||||||
Date of first compliant Open Access: | 21 August 2017 | ||||||||
Funder: | Natural Sciences and Engineering Research Council of Canada (NSERC), Warwick Manufacturing Group, University of Warwick Energy Global Research Priority |
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