The Journal of Supercomputing

, Volume 72, Issue 8, pp 3222–3235 | Cite as

Optimal mobile device selection for mobile cloud service providing

  • Ao Zhou
  • Shangguang Wang
  • Jinglin Li
  • Qibo Sun
  • Fangchun Yang
Article

Abstract

With the rapid growth of the mobile devices and the emergence of cloud computing, mobile cloud computing has gained widespread interest. In mobile cloud computing, a large-scale collection of mobile devices cooperate with each other to provide a cloud service at the edge. However, the improper mobile device selection has a negative effect on the quality of service. Existing methods are difficult to solve the problem, because they do not take the status and the historical characteristics of the mobile devices into consideration. This paper introduces a device status-aware and stability-aware mobile device selection method. Firstly, a model is designed to store the status and the historical characteristics of each mobile device. Secondly, an optimized cloud model is employed to evaluate the stability of each mobile device. Lastly, an optimal mobile device searching algorithm is presented to select the optimal mobile device. We provide an extensive evaluation of our method. The results show that our method can increase the quality of mobile cloud service compared with the traditional method.

Keywords

Mobile device cloud Mobile cloud computing Mobile cloud service Mobile device selection Cloud model 

Notes

Acknowledgments

This work was supported by NSFC (61272521), NSFC (61472047), NSFC (61571066), and “the Fundamental Research Funds for the Central Universities”.

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Ao Zhou
    • 1
  • Shangguang Wang
    • 1
  • Jinglin Li
    • 1
  • Qibo Sun
    • 1
  • Fangchun Yang
    • 1
  1. 1.State Key Laboratory of Networking and Switching TechnologyBeijing University of Posts and TelecommunicationsBeijingPeople’s Republic of China

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