• DocumentCode
    686011
  • Title

    Vehicular cloud computing: A survey

  • Author

    Lin Gu ; Deze Zeng ; Song Guo

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Aizu, Aizu-Wakamatsu, Japan
  • fYear
    2013
  • fDate
    9-13 Dec. 2013
  • Firstpage
    403
  • Lastpage
    407
  • Abstract
    With the proliferation of automobile industry, vehicles are augmented with various forms of increasingly powerful computation, communication, storage and sensing resources. A vehicle therefore can be regarded as “computer-on-wheels”. With such rich resources, it is of great significance to efficiently utilize these resources. This puts forward the vision of vehicular cloud computing. In this paper, we provide an extensive survey of current vehicular cloud computing research and highlight several key issues of vehicular cloud such as architecture, inherent features, service taxonomy and potential applications.
  • Keywords
    cloud computing; mobile computing; traffic engineering computing; automobile industry; computer-on-wheels; vehicular cloud computing; Cloud computing; Computer architecture; Conferences; Robot sensing systems; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2013 IEEE
  • Conference_Location
    Atlanta, GA
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2013.6825021
  • Filename
    6825021