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Phased Scheduling for Resource-Constrained Mobile Devices in Mobile Cloud Computing

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Abstract

Mobile cloud computing combines wireless access service and cloud computing to improve the performance of mobile applications. Mobile cloud computing can balance the application distribution between the mobile device and the cloud, in order to achieve faster interactions, battery savings and better resource utilization. To support mobile cloud computing, the paper proposes a phased scheduling model of mobile cloud such that mobile device’s users experience lower interaction times and extended battery life. The phased scheduling optimization is solved by two subproblems: mobile device’s batch application optimization and mobile device’s job level optimization. At the first stage, the mobile cloud global scheduling optimization implements the allocation of the cloud resources to the mobile device’s batch applications. At the second stage, mobile device’s job level optimization adjusts the cloud resource usages to optimize the utility of single mobile device’s application. In the simulations, compared with other algorithm, our proposed mobile cloud phased scheduling algorithms achieve the better performance with acceptable overhead.

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Acknowledgments

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 (No. 61171075), National Key Basic Research Program of China (973 Program) under Grant No. 2011CB302601, Special Fund for Fast Sharing of Science Paper in Net Era by CSTD (FSSP) No. 20130143110021, Program for the High-end Talents of Hubei Province, Specialized Research Fund for the Doctoral Program of Higher Education under Grant No. 20120143110014 and the Open Fund of the State Key Laboratory of Software Development Environment (SKLSDE-2013KF). 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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  1. Department of Computer Science, Wuhan University of Technology, Wuhan, 430063, People’s Republic of China

    Chunlin Li & Layuan Li

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  1. Chunlin Li
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  2. Layuan Li
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Correspondence to Chunlin Li.

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Li, C., Li, L. Phased Scheduling for Resource-Constrained Mobile Devices in Mobile Cloud Computing. Wireless Pers Commun 77, 2817–2837 (2014). https://doi.org/10.1007/s11277-014-1669-3

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