Skip to main content

Eliminating Datacenter Idle Power with Dynamic and Intelligent VM Relocation

  • Conference paper
Distributed Computing and Artificial Intelligence

Part of the book series: Advances in Intelligent and Soft Computing ((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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 469.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 599.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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. 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)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hirofuchi, T., Nakada, H., Ogawa, H., Itoh, S., Sekiguchi, S. (2010). Eliminating Datacenter Idle Power with Dynamic and Intelligent VM Relocation. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14883-5_82

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14883-5_82

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14882-8

  • Online ISBN: 978-3-642-14883-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics