Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

Mehdi Sookhak; F. Richard Yu; Ying He; Hamid Talebian; Nader Sohrabi Safa; Nan Zhao; Muhammad Khurram Khan; Neeraj Kumar

doi:10.1109/MVT.2017.2667499

Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

Mehdi Sookhak
, F. Richard Yu
, Ying He
, Hamid Talebian
, Nader Sohrabi Safa
, Nan Zhao
, Muhammad Khurram Khan
, Neeraj Kumar

Carleton University
Universiti Malaya
Dalian University of Technology
King Saud University
Thapar University
University of Warwick

Research output: Contribution to journal › Article › peer-review

193 Citations (Scopus)

530 Downloads (Pure)

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.

Original language	English
Article number	7994678
Pages (from-to)	55-64
Number of pages	10
Journal	IEEE Vehicular Technology Magazine
Volume	12
Issue number	3
Early online date	27 Jul 2017
DOIs	https://doi.org/10.1109/MVT.2017.2667499
Publication status	Published - 1 Sept 2017
Externally published	Yes

Bibliographical note

© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Funding

This work was supported in part by the Natural Sciences and Engineering Research Council of Canada. Mehdi Sookhak ([email protected]) received his Ph.D. degree in computer science from the University of Malaya (UM), Kuala Lumpur, in 2015. From 2012 to 2015, he was an active researcher in the Center for Mobile Cloud Computing Research and a faculty member in the Computer Science and Information Technology Department, UM. He is currently a postdoctoral fellow at Car-leton University of Ottawa, Canada, and is funded by the Canadian Natural Sciences and Engineering Research Council. His areas of interest include cryptography and information security, mobile cloud computing, fog computing, vehicular cloud computing, data storage security, access control, and distributed systems. F. Richard Yu ([email protected]) received his Ph.D. degree in electrical engineering from the University of British Columbia, Canada, in 2003. From 2002 to 2006, he was with Ericsson in Lund, Sweden, and a start-up in San Diego, California. He joined Carleton University of Ottawa, Canada, in 2007, where he is currently a professor. He received the IEEE Outstanding Service Award in 2016; the IEEE Outstanding Leadership Award in 2013; the Carleton Research Achievement Award in 2012; the Ontario Early Researcher Award (formerly Premiers Research Excellence Award) in 2011; the Excellent Contribution Award at the IEEE/International Federation for Information Processing (IFIP) TrustCom in 2010; the Leadership Opportunity Fund Award from the Canada Foundation of Innovation in 2009; and Best Paper Awards at the IEEE International Conference on Communications in 2014, Globecom in 2012, IEEE/IFIP TrustCom in 2009, and the International Conference on Networking in 2005. His research interests include cross-layer/cross-system design, connected vehicles, security, and green information and computer technology. He is a Senior Member of the IEEE. Neeraj Kumar ([email protected]) received his M.Tech. degree from Kurukshetra University in Haryana, India, and his Ph.D. degree in computer science and engineering in 2009 from Shri Mata Vaishno Devi University in Katra, Jammu, and Kashmir. He is an associate professor in the Department of Computer Science and Engineering at Thapar University in Patia-la, India. He was a postdoctoral research fellow at Coventry University in the United Kingdom and has published more than 100 research papers in leading journals and conference proceedings. His research is supported by the University Grants Commission and Tata Consultancy Services.

Keywords

Cloud computing
Edge computing
Computer architecture
Real-time systems
Computational modeling
Streaming media

ASJC Scopus subject areas

Automotive Engineering

Access to Document

10.1109/MVT.2017.2667499

Post-PrintAccepted author manuscript, 1.29 MB

http://wrap.warwick.ac.uk/91430/

Cite this

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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.",

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Fog Vehicular Computing: Augmentation of Fog Computing Using Vehicular Cloud Computing

Abstract

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Keywords

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