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Energy-Aware Dynamic Migration of Virtual Machines in a Server Cluster

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Complex, Intelligent, and Software Intensive Systems (CISIS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 611))

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Abstract

Virtual machines are now widely used to support applications with virtual computation service in server clusters. Here, a virtual machine can migrate from a host server to a guest server while processes are being performed. In this paper, we discuss a virtual machine migration approach to reducing the electric energy consumption of servers. In our previous studies, virtual machines are fixed in a cluster. In this paper, we consider a cluster where virtual machines are dynamically created and dropped. We propose a dynamic virtual machine migration (DVMM) algorithm to reduce the total electric energy consumption of servers. We evaluate the DVMM algorithm and show the total electric energy consumption and active time of servers and the average execution time of processes can be reduced compared with other non-migration algorithms.

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Acknowledgment

This work was supported by JSPS KAKENHI grant number 15H02695.

Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Dilawaer Duolikun, Ryo Watanabe & Makoto Takizawa

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

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

Correspondence to Dilawaer Duolikun .

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. Politècnico di Torino, Istituto Superiore Mario Boella, Turin, Italy

    Olivier Terzo

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Duolikun, D., Watanabe, R., Enokido, T., Takizawa, M. (2018). Energy-Aware Dynamic Migration of Virtual Machines in a Server Cluster. In: Barolli, L., Terzo, O. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2017. Advances in Intelligent Systems and Computing, vol 611. Springer, Cham. https://doi.org/10.1007/978-3-319-61566-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-61566-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-61565-3

  • Online ISBN: 978-3-319-61566-0

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