Eliminating Datacenter Idle Power with Dynamic and Intelligent VM Relocation

  • Takahiro Hirofuchi
  • Hidemoto Nakada
  • Hirotaka Ogawa
  • Satoshi Itoh
  • Satoshi Sekiguchi
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 79)

Abstract

We are developing an advanced IaaS (Infrastructure-as-a-Service) datacenter management system that dynamically minimizes running physical servers depending on resource utilization. The management system periodically monitors the loading of a datacenter, and dynamically repacks virtual machines (VMs) into optimal physical servers. Live migration of VMs and the standby mode of physical servers are automatically orchestrated by a genetic algorithm (GA) engine. A preliminary experiment showed that our first prototype system correctly worked for a proof-of-concept datacenter.

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References

  1. 1.
    Hirofuchi, T., Nakada, H., Itoh, S., Sekiguchi, S.: Enabling instantaneous relocation of virtual machines with a lightweight vmm extension. In: Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2010), IEEE Computer Society, Los Alamitos (2010)Google Scholar
  2. 2.
    Nakada, H., Hirofuchi, T., Ogawa, H., Itoh, S.: Toward virtual machine packing optimization based on genetic algorithm. In: Omatu, S., Rocha, M.P., Bravo, J., Fernández, F., Corchado, E., Bustillo, A., Corchado, J.M. (eds.) IWANN 2009. LNCS, vol. 5518, pp. 651–654. Springer, Heidelberg (2009)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Takahiro Hirofuchi
    • 1
  • Hidemoto Nakada
    • 1
  • Hirotaka Ogawa
    • 1
  • Satoshi Itoh
    • 1
  • Satoshi Sekiguchi
    • 1
  1. 1.National Institute of Advanced Industrial Science and Technology (AIST)TsukubaJapan

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