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A survey on decision making for task migration in mobile cloud environments

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Abstract

The key idea of MCC is using powerful back-end computing nodes to enhance capabilities of small mobile devices and provide better user experiences. An effective and widely used approach to realize this is task migrations. Decision making is an important aspect of migrations which affects the feasibility and effectiveness of task migrations. There have been a number of research efforts to MCC which help make decisions for task migrations. In this paper, we present a comprehensive survey on decision making for task migrations in MCC, including decision factors and algorithms. We observe that there are still some challenges such as comprehensive context awareness, unified migration standards, large-scale experiments, more involvement of latest achievements from artificial intelligence, and flexible decision-making mechanisms. The paper highlights these issues and challenges to attract more efforts to work on MCC.

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Acknowledgments

This research was supported by the International S&T Cooperation Program of China (ISTCP, 2013DFA10980).

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Authors and Affiliations

  1. School of Computer and Communication Engineering, China University of Petroleum, Qingdao, 266580, China

    Weishan Zhang, Shouchao Tan, Zhongwei Li & Qinghua Lu

  2. School of Software, Dalian University of Technology, Dalian, 116620, China

    Feng Xia

  3. Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, Dalian, 116620, China

    Feng Xia

  4. Hisense TransTech, Ltd., Qingdao, China

    Xiufeng Chen

  5. College of Computer Science and Technology, Fudan University, Shanghai, 200433, China

    Su Yang

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  1. Weishan Zhang
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  2. Shouchao Tan
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  6. Qinghua Lu
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  7. Su Yang
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Correspondence to Weishan Zhang.

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Zhang, W., Tan, S., Xia, F. et al. A survey on decision making for task migration in mobile cloud environments. Pers Ubiquit Comput 20, 295–309 (2016). https://doi.org/10.1007/s00779-016-0915-y

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