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Efficient Market Strategy Based Optimal Scheduling in Hybrid Cloud Environments

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Abstract

Hybrid cloud is a combination of a private cloud combined with the use of public cloud services where one or several touch points exist between the environments. Depending on utilization, data center cost and the costs of the cloud provider, an efficient scheduling policy has to decide whether or not moving from private cloud to public cloud is profitable. The paper proposes a market based hybrid cloud optimal scheduling optimization in hybrid cloud. The hybrid cloud marketplace is a virtual place where one or more public cloud providers and private cloud users meet to negotiate simultaneously. The scheduling optimization is conducted by hybrid cloud local scheduling and hybrid cloud global scheduling. For the global scheduling, the hybrid cloud system implements the allocation of public cloud resources to the private cloud application groups; the private cloud application group coordinates the deployments of all private cloud applications that consume the allocation of public cloud resources. For the local scheduling, the private cloud local level adjusts the cloud resource usages to optimize the utility of single private cloud application. In the simulations, compared with other related algorithm, our proposed market based hybrid cloud optimal scheduling algorithms achieve the better performance in terms of QoS satisfaction rate and allocation efficiency.

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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 (Nos. 61472294 and 61171075), Key Natural Science Foundation of Hubei Province (No. 2014CFA050), Applied Basic Research Project of WuHan, National Key Basic Research Program of China (973 Program) under Grant No. 2011CB302601, Program for the High-end Talents of Hubei Province, and State Key Laboratory of Software Engineering.

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Authors and Affiliations

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

    Chunlin Li & LaYuan Li

  2. The State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, 710071, People’s Republic of China

    Chunlin 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. Efficient Market Strategy Based Optimal Scheduling in Hybrid Cloud Environments. Wireless Pers Commun 83, 581–602 (2015). https://doi.org/10.1007/s11277-015-2410-6

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