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Evolutionary study on mobile cloud computing

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Abstract

For increasing usage of mobile cloud computing, computation offloading helps cleverly utilize the environmental resource. In this work, the computation offloading decision to remote cloud is made in a distributed manner, which falls within the framework of evolutionary game theory. This framework has the advantage of less strict requirement, e.g., without decision makers’ idealized rationality. To find the optimal trade-off point among power consumption and communication latency, a joint optimization problem is formulated. Besides, targeted at solving this problem, a distributed algorithm, which is easy to implement, is proposed. Numerical studies show our proposed scheme indeed functions well in the meaning that the players will eventually turn to equilibrium.

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Acknowledgments

This research was supported by research grant from Natural Science Foundation of China (61301182, 61171071, 61575126), from Natural Science Foundation of Guangdong Province (S2013040016857, 2015A030313552), from Specialized Research Fund for the Doctoral Program of Higher Education from The Ministry of Education (20134408120004), from Distinguished Young Talents in Higher Education of Guangdong (2013LYM\(\_\)0077), from Foundation of Shenzhen City (KQCX20140509172609163, GJHS20120621143440025, JCYJ20140418095735590, JCYJ20150324140036847, ZDSY20120612094614154), Xiniuniao from Tencent, and from Natural Science Foundation of Shenzhen University (00002501, 00036107), Research Foundation of the Higher Education Institute of Guangdong Province (GDJ2014083), Teaching Reform and Research Project of Shenzhen University (JG2015038).

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Authors and Affiliations

  1. Shenzhen Key Lab of Advanced Communication and Information Processing and Shenzhen Key Laboratory of Media Security, College of Information Engineering, Shenzhen University, Shenzhen, China

    Mingjun Dai, Dujuan Liu, Yongjun Fan, Hui Wang, Xiaohui Lin, Bin Chen & Zexin Lu

  2. The State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, China

    Mingjun Dai, Dujuan Liu, Yongjun Fan, Hui Wang, Xiaohui Lin, Bin Chen & Zexin Lu

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  1. Mingjun Dai
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  2. Dujuan Liu
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  3. Yongjun Fan
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  4. Hui Wang
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  5. Xiaohui Lin
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  6. Bin Chen
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  7. Zexin Lu
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Correspondence to Mingjun Dai.

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Cite this article

Dai, M., Liu, D., Fan, Y. et al. Evolutionary study on mobile cloud computing. Neural Comput & Applic 28, 2735–2744 (2017). https://doi.org/10.1007/s00521-016-2217-8

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