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Using priced timed automaton to analyse the energy consumption in cloud computing environment

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Abstract

According to the fact that cloud servers have different energy consumption on different running states, as well as the energy waste problem caused by the mismatching between cloud servers and cloud tasks, we carry out researches on the energy optimal method achieved by a priced timed automaton for the cloud computing center in this paper. The priced timed automaton is used to model the running behaviors of the cloud computing system. After introducing the matching matrix of cloud tasks and cloud resources as well as the power matrix of the running states of cloud servers, we design a generation algorithm for the cloud system automaton based on the generation rules and reduction rules given ahead. Then, we propose another algorithm to settle the minimum path energy consumption problem in the cloud system automaton, therefore obtaining an energy optimal solution and an energy optimal value for the cloud system. A case study and repeated experimental analyses manifest that our method is effective and feasible.

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Acknowledgments

The authors are grateful to the anonymous reviewers for their insightful comments and suggestions. The research supported by the National High Technology Research and Development Program of China (863 program) under Grant of 2009AA012201, the National Natural Science Foundation of China under Grant of 61272107, 61202173, and 61103068, the Program of Shanghai Subject Chief Scientist under grant of 10XD1404400, the special Fund for Fast Sharing of Science Paper in Net Era by CSTD under Grant of 20110740001.

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Authors and Affiliations

  1. Department of computer Science and Technology, Tongji University, Shanghai , 201804, China

    Zhigang Deng, Guosun Zeng, Qi He, Yunjie Zhong & Wei Wang

  2. School of Electronics & Information Engineering, Jinggangshan University, Ji’an , 343009, Jiangxi, China

    Zhigang Deng & Qi He

  3. Tongji Branch, National Engineering & Technology Center of High Performance Computer, Shanghai , 201804, China

    Zhigang Deng, Guosun Zeng, Qi He, Yunjie Zhong & Wei Wang

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  1. Zhigang Deng
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  2. Guosun Zeng
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  4. Yunjie Zhong
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  5. Wei Wang
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Correspondence to Zhigang Deng.

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Deng, Z., Zeng, G., He, Q. et al. Using priced timed automaton to analyse the energy consumption in cloud computing environment. Cluster Comput 17, 1295–1307 (2014). https://doi.org/10.1007/s10586-014-0378-8

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  • DOI: https://doi.org/10.1007/s10586-014-0378-8

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