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An Energy-efficient Migration Model of Processes with Virtual Machines in a Server Cluster

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Advances on Broad-Band Wireless Computing, Communication and Applications (BWCCA 2016)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 2))

Abstract

In cloud computing systems, computation resources like CPU and storages are virtualized. Virtual machines are now widely used to support applications with virtual computation service and to perform application processes. Furthermore, virtual machines can migrate from a host server to a guest server while processes are being performed on the virtual machines. We have to reduce electric energy consumption of servers in server clusters. In this paper, we take advantage of the migration technologies of virtual machines to reduce the electric energy consumed by servers. We propose a simple virtual machine migration (SVM) algorithm to migrate a virtual machine to another energy-efficient server in order to reduce the electric energy consumption. We show the total electric energy consumption of the servers can be reduced in the SVM algorithm.

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Author information

Authors and Affiliations

  1. Hosei University, Tokyo, Japan

    Ryo Watanabe, Dilawaer Duolikun & 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. Tomoya Enokido
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  4. Makoto Takizawa
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Corresponding author

Correspondence to Ryo Watanabe .

Editor information

Editors and Affiliations

  1. Fukuoka Institute of Technology , Fukuoka, Japan

    Leonard Barolli

  2. Campus Nord,Ed. Omega (Room 109), Technical University of Catalonia Campus Nord,Ed. Omega (Room 109), Barcelona, Spain

    Fatos Xhafa

  3. Department of Information Security Engin, Soonchunhyang University Department of Information Security Engin, Asan-si, Korea (Republic of)

    Kangbin Yim

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Watanabe, R., Duolikun, D., Enokido, T., Takizawa, M. (2017). An Energy-efficient Migration Model of Processes with Virtual Machines in a Server Cluster. In: Barolli, L., Xhafa, F., Yim, K. (eds) Advances on Broad-Band Wireless Computing, Communication and Applications. BWCCA 2016. Lecture Notes on Data Engineering and Communications Technologies, vol 2. Springer, Cham. https://doi.org/10.1007/978-3-319-49106-6_4

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  • DOI: https://doi.org/10.1007/978-3-319-49106-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-49105-9

  • Online ISBN: 978-3-319-49106-6

  • eBook Packages: EngineeringEngineering (R0)

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