Mobile Cloud Computing: A Survey, State of Art and Future Directions
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  • 作者:M. Reza Rahimi (1)
    Jian Ren (2)
    Chi Harold Liu (2)
    Athanasios V. Vasilakos (3)
    Nalini Venkatasubramanian (1)
  • 关键词:Mobile cloud computing ; Survey ; Mobile computation offloading ; Wireless bandwidth limitation ; MCC security and privacy ; MCC business model
  • 刊名:Mobile Networks and Applications
  • 出版年:2014
  • 出版时间:April 2014
  • 年:2014
  • 卷:19
  • 期:2
  • 页码:133-143
  • 全文大小:1,120 KB
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  • 作者单位:M. Reza Rahimi (1)
    Jian Ren (2)
    Chi Harold Liu (2)
    Athanasios V. Vasilakos (3)
    Nalini Venkatasubramanian (1)

    1. University of California, Irvine, USA
    2. Beijing Institute of Technology, Beijing, China
    3. National Technical University of Athens, Athens, Greece
  • ISSN:1572-8153
文摘
In the recent years, cloud computing frameworks such as Amazon Web Services, Google AppEngine and Windows Azure have become increasingly popular among IT organizations and developers. Simultaneously, we have seen a phenomenal increase in the usage and deployment of smartphone platforms and applications worldwide. This paper discusses the current state of the art in the merger of these two popular technologies, that we refer to as Mobile Cloud Computing (MCC). We illustrate the applicability of MCC in various domains including mobile learning, commerce, health/wellness and social medias. We further identify research gaps covering critical aspects of how MCC can be realized and effectively utilized at scale. These include improved resource allocation in the MCC environment through efficient task distribution and offloading, security and privacy.

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