FOG VEHICULAR COMPUTING Augmentation of Fog Computing Using Vehicular Cloud Computing

被引:158
作者
Sookhak, Mehdi [1 ,2 ,3 ]
Yu, F. Richard [3 ]
He, Ying [4 ]
Talebian, Hamid [5 ]
Safa, Nader Sohrabi [6 ,7 ]
Zhao, Nan [4 ]
Khan, Muhammad Khurram [8 ]
Kumar, Neeraj [9 ,10 ]
机构
[1] Univ Malaya, Ctr Mobile Cloud Comp Res, Kuala Lumpur, Malaysia
[2] Univ Malaya, Comp Sci & Informat Technol Dept, Kuala Lumpur, Malaysia
[3] Carleton Univ, Ottawa, ON, Canada
[4] Dalian Univ Technol, Sch Informat & Commun Engn, Dalian, Peoples R China
[5] UM, Mobile Cloud Comp Res Grp, Kuala Lumpur, Malaysia
[6] Univ Warwick, Warwick Mfg Grp, Cyber Secur Ctr, Coventry, W Midlands, England
[7] Nelson Mandela Metropolitan Univ, Sch Informat & Comp Technol, Ctr Res Informat & Cyber Secur, Port Elizabeth, South Africa
[8] King Saud Univ, Ctr Excellence Informat Assurance, Riyadh, Saudi Arabia
[9] Thapar Univ, Dept Comp Sci & Engn, Patiala, Punjab, India
[10] Coventry Univ, Coventry, W Midlands, England
来源
IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2017年 / 12卷 / 03期
基金
加拿大自然科学与工程研究理事会;
关键词
Delay-sensitive applications - Fog computing - Network architecture;
D O I
10.1109/MVT.2017.2667499
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
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. © 2005-2012 IEEE.
引用
收藏
页码:55 / 64
页数:10
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