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Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster

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Transactions on Computational Collective Intelligence XXXIII

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 11610))

Abstract

In prevent global warming, it is critical to reduce electric energy consumed in information systems, especially servers in clusters like cloud computing systems. In this paper, a process migration approach is discussed to reduce the total energy consumption of clusters by using virtual machines. We propose a pair of the static SM(v) and dynamic DM(v) migration algorithms where a group of at most v (\(\ge \)0) virtual machines migrate from a host server to a guest server. A group of virtual machines on a host server to migrate to a guest server are selected so that the total energy to be consumed by the host and guest servers can be reduced. In the SM(v) algorithm, the total number of virtual machines is fixed in a cluster. In the DM(v) algorithm, virtual machines are resumed and suspended so that the number of processes on each virtual machine is kept fewer. In the evaluation, we show the total energy consumption of servers can be mostly reduced in the DM(v) algorithm compared with other algorithms.

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Acknowledgement

This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI 15H0295 and Grant-in-Aid for JSPS Research Fellow grant 18J10022.

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Authors and Affiliations

  1. Graduate School of Science and Engineering, Hosei University, Tokyo, Japan

    Dilawaer Duolikun & Makoto Takizawa

  2. Faculty of Business Administration, Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Faculty of Science and Engineering, Hosei University, Tokyo, Japan

    Dilawaer Duolikun, Tomoya Enokido & Makoto Takizawa

Authors
  1. Dilawaer Duolikun
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  2. Tomoya Enokido
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  3. Makoto Takizawa
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Corresponding author

Correspondence to Dilawaer Duolikun .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Swinburne University of Technology, Hawthorn, VIC, Australia

    Ryszard Kowalczyk

  3. Technical University of Catalonia, Barcelona, Spain

    Fatos Xhafa

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Duolikun, D., Enokido, T., Takizawa, M. (2019). Static and Dynamic Group Migration Algorithms of Virtual Machines to Reduce Energy Consumption of a Server Cluster. In: Nguyen, N., Kowalczyk, R., Xhafa, F. (eds) Transactions on Computational Collective Intelligence XXXIII. Lecture Notes in Computer Science(), vol 11610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-59540-4_8

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  • DOI: https://doi.org/10.1007/978-3-662-59540-4_8

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-59539-8

  • Online ISBN: 978-3-662-59540-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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