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Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications

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Abstract

The paper addresses the integration of hybrid cloud with mobile applications. The challenge about hybrid mobile cloud resource provisioning is the trade-offs between energy consumption, performance provided to users and how resources, such as processing power and network, are being utilized. The proposed elastic hybrid mobile cloud resource provisioning model is jointly optimized to improve mobile user experience within the constraints of available resources and user QoS requirement. The paper presents the system utility of hybrid cloud system involving local cloud and public cloud infrastructure. From the perspectives of both mobile applications and cloud providers, the proposed system utility is optimized to improve the performance of mobile applications and the utilization of cloud resources. The proposed elastic hybrid mobile cloud resource provisioning algorithm includes two sub-algorithms. To evaluate and validate performance of the proposed algorithm, a series of experiments are conducted. The comparison results and analyses are discussed. The experimental results show the improvement to previous works.

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Acknowledgements

The authors thank the editors and the anonymous reviewers for their helpful comments and suggestions. The work was supported by the National Natural Science Foundation (NSF) under Grants (Nos. 61672397, 61472294, 61601336), Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University (No.2016LSDMIS05), Program for the High-end Talents of Hubei Province. Any opinions, findings and conclusions are those of the authors and do not necessarily reflect the views of the above agencies.

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Authors and Affiliations

  1. Department of Computer Science, Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Li Chunlin & Zhou Min

  2. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou, 350116, People’s Republic of China

    Li Chunlin

  3. School of Management, Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Luo Youlong

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  1. Li Chunlin
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  2. Zhou Min
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  3. Luo Youlong
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Correspondence to Li Chunlin.

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Chunlin, L., Min, Z. & Youlong, L. Elastic resource provisioning in hybrid mobile cloud for computationally intensive mobile applications. J Supercomput 73, 3683–3714 (2017). https://doi.org/10.1007/s11227-017-1965-2

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  • DOI: https://doi.org/10.1007/s11227-017-1965-2

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