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Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network

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Abstract

Mobile cloud computing (MCC) is becoming one of the primary applications and research directions of pervasive computing. Previous studies generally focuses on the following two kinds of paradigms. One is that mobile users offload computing tasks into traditional clouds to achieve collaboration processing. The other is that multiple mobile devices, as “helpers”, casually provide computing services for other mobile “requesters”. However, with the extraordinary development of mobile devices, new problems of resource utilization and multi-tenancy of mobile devices are emerging. Based on this, we propose a novel MCC paradigm combining virtual machine (VM) technologies to improve the resource utilization of mobile devices, achieve multi-tenancy and thereby obtain the more efficient MCC environment as well as a broader MCC research field. To achieve it, the VM deployment problem must be addressed firstly. The heuristic deployment approach VD-ABC based on an improved artificial bee colony algorithm is proposed. It combines with Boltzmann selection policy, to obtain the optimal solution of VM deployment. In terms of the traits of wireless network in MCC, the mapping from the obtained solution to the final VM deployment is achieved. Simulation results show that VD-ABC has a better energy saving performance while minimizing the service response latency.

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Acknowledgements

This work is supported by the National Science-Technology Support Project (2014BAH02F02), Graduate Innovation Fund (Project 2016029) of Jilin University, the Jilin Provincial Education Office (the 13th Five-Year Plan Science and Technology Research Project [2016] No. 347), the National Natural Science Foundation of China (61472158, 61572228), the Premier Discipline Enhancement Scheme from Zhuhai Government and the Premier Key-Discipline Enhancement Scheme from Guangdong Government. We would like to thank anonymous reviewers who helped us in giving comments to this paper.

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Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, No. 2699 Qianjin Street, Changchun, 130012, People’s Republic of China

    Yan Ding, Gaochao Xu, Chunyi Wu & Liang Hu

  2. Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education, Zhuhai College of Jilin University, Zhuhai, 519041, People’s Republic of China

    Yan Ding & Chunyi Wu

  3. Jilin Communications Polytechnic, Changchun, 130012, People’s Republic of China

    Yunan Zhai

  4. School of Computer Science and Engineering, ChangChun University of Technology, Changchun, 130012, China

    Jia Zhao

  5. High-Assurance Software Laboratory, INESC TEC & University of Minho, Braga, Portugal

    Jia Zhao

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  1. Yan Ding
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  2. Gaochao Xu
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  3. Chunyi Wu
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  4. Liang Hu
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Contributions

Ding, Y. and Xu, G. designed and performed experiments, analyzed data and wrote the paper; Wu, C., Hu, L. and Zhai, Y. analyzed data; Zhao, J. supervised its analysis and edited the manuscript.

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Correspondence to Jia Zhao.

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The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Ding, Y., Xu, G., Wu, C. et al. Explore virtual machine deployment to mobile cloud computing for multi-tenancy and energy conservation in wireless network. Cluster Comput 20, 3263–3274 (2017). https://doi.org/10.1007/s10586-017-1054-6

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  • DOI: https://doi.org/10.1007/s10586-017-1054-6

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