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Distributed QoS-aware scheduling optimization for resource-intensive mobile application in hybrid cloud

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Abstract

In the paper, the distributed scheduling optimization model for resource-intensive mobile application is proposed. Lagrangian method is applied to achieve distributed scheduling optimization in hybrid cloud. By decomposing the Kuhn–Tucker conditions into different roles of mobile user, public cloud supplier and local cloud supplier, the scheduling optimization problem in hybrid cloud is converted into a distributed problem. The system design and example of distributed scheduling optimization for resource intensive mobile application is also given. The local or public cloud provider uses service-level agreement (SLA) in determining the share of resources to be allocated to the mobile user. The distributed scheduling optimization algorithm for resource intensive mobile application is proposed, which includes three parts: local cloud agent scheduling optimization, public cloud service scheduling and mobile application QoS optimization. The experiments study how data size, request arrival rate, number of mobile users and mobility have effect on the proposed algorithm and other related 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), the Fundamental Research Funds for the Central Universities (WUT No. 2017-YB-029), Wuhan University of Technology and 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 & Tang Jianhang

  2. Hebei Engineering Technology Research Center for IOT Data acquisition & Processing, North China Institute of Science and Technology, Hebei, 065201, 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. Tang Jianhang
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  3. Luo Youlong
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Correspondence to Li Chunlin.

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Chunlin, L., Jianhang, T. & Youlong, L. Distributed QoS-aware scheduling optimization for resource-intensive mobile application in hybrid cloud. Cluster Comput 21, 1331–1348 (2018). https://doi.org/10.1007/s10586-017-1171-2

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  • DOI: https://doi.org/10.1007/s10586-017-1171-2

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