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A Simple Energy-Aware Virtual Machine Migration Algorithm in a Server Cluster

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

It is critical to reduce the electric energy consumption of servers in a cluster. In this paper, we discuss a migration approach to reducing the electric energy consumption where virtual machines with application processes migrate to more energy-efficient servers. In the SEAM algorithm previously proposed, a host server to perform a process and to migrate a virtual machine is selected whose expected electric energy consumption is minimum. In this paper, the SEAM algorithm is improved where a host server is selected with minimum expected electric energy consumed by not only the host server but also the other servers. We show the total electric energy consumption of the servers can be reduced in the improved SEAM (ISEAM) algorithm compared with non-migration algorithms and the SGEA algorithm in the evaluation.

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Acknowledgements

This work was supported by JSPS KAKENHI grant number 15H0295.

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Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Ryo Watanabe, Dilawaer Duolikun, Qin Cuiqin & Makoto Takizawa

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

Authors
  1. Ryo Watanabe
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  2. Dilawaer Duolikun
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  3. Qin Cuiqin
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  4. Tomoya Enokido
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  5. Makoto Takizawa
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Corresponding author

Correspondence to Ryo Watanabe .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Watanabe, R., Duolikun, D., Cuiqin, Q., Enokido, T., Takizawa, M. (2018). A Simple Energy-Aware Virtual Machine Migration Algorithm in a Server Cluster. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_5

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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