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

Research output: Contribution to journalArticle

78 Citations (Scopus)
215 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 languageEnglish
Article number7994678
Pages (from-to)55-64
Number of pages10
JournalIEEE Vehicular Technology Magazine
Volume12
Issue number3
Early online date27 Jul 2017
DOIs
Publication statusPublished - 1 Sep 2017
Externally publishedYes

Bibliographical note

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Keywords

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

ASJC Scopus subject areas

  • Automotive Engineering

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