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A virtualized energy-efficient office environment

Published:13 April 2010Publication History

ABSTRACT

The energy efficiency of information and communication technology becomes more and more important due to the raise of energy costs and the world wide desire to reduce CO2 emissions. Data centers have been in the focus concerning their energy efficiency lately, however, also office hosts that are located outside of data centres consume huge amounts of energy (e.g., in public administration or companies). Such office environments promise a high potential in terms of energy savings -- a significant number of hosts remains to be turned on 24 hours per day while being mostly underutilized. This paper investigates the energy consumption in office environments and discusses the potential of energy savings. An energy-efficient office management approach is suggested, based on resource virtualization, power management, and resource sharing. Additionally, the paper evaluates simulation results concerning energy consumption and service provision in the managed office environment. The evaluation indicates that about 75% of energy savings are achievable in office environments without a significant interruption of provided services.

References

  1. P. Barham, B. Dragovic, K. Fraser, S. Hand, T. Harris, A. Ho, R. Neugebauer, I. Pratt, and A. Warfield. Xen and the art of virtualization. SIGOPS Oper. Syst. Rev., 37(5):164--177, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. F. Bellard. QEMU, a fast and portable dynamic translator. In Proceedings of the USENIX Annual Technical Conference, FREENIX Track, pages 41--46, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. A. Berl and H. de Meer. An Energy-Efficient Distributed Office Environment. In Proceedings of European Conference on Universal Multiservice Networks (ECUMN 2009), Sliema, Malta, October 11--16, 2009. IEEE Press, October 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. A. Berl, H. Hlavacs, H. de Meer, and T. Treutner. Virtualization Methods in Future Home Environments. IEEE Communications Magazine, December 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. P. Bertoldi and B. Atanasiu. Electricity consumption and efficiency trends in the enlarged European Union. IES--JRC. European Union, 2007.Google ScholarGoogle Scholar
  6. C. Cartledge. Sheffield ICT Footprint Commentary. Report for SusteIT. Available at: http://www.susteit.org.uk/files/files/26-Sheffield_ICT_Footprint_Commentary_Final_8.doc, 2008.Google ScholarGoogle Scholar
  7. C. Clark, K. Fraser, S. Hand, J. G. Hansen, E. Jul, C. Limpach, I. Pratt, and A. Warfield. Live Migration of Virtual Machines. In 2nd conference on Symposium on Networked Systems Design & Implementation (NSDI'05), pages 273--286, Berkeley, CA, USA, 2005. USENIX Association. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. C. Hewitt. Orgs for scalable, robust, privacy-friendly client cloud computing. IEEE Internet Computing, 12(5):96--99, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Hewlett-Packard. Microsoft, Phoenix, and Toshiba. Advanced configuration and power interface specification. ACPI Specification Document, 3, 2004.Google ScholarGoogle Scholar
  10. H. Hlavacs, K. A. Hummel, R. Weidlich, A. Houyou, A. Berl, and H. de Meer. Distributed Energy Efficiency in Future Home Environments. Annals of Telecommunication: Next Generation Network and Service Management, 63(9):473--485, October 2008.Google ScholarGoogle Scholar
  11. Intel. White paper 30057701. wireless intel speedstep power manager: Optimizing power consumption for the intel pxa27x processor family, 2004.Google ScholarGoogle Scholar
  12. Intel and U.S. Environmental Protection Agency. Energy star* system implementation, whitepaper. SIGCOMM Comput. Commun. Rev., February 2007.Google ScholarGoogle Scholar
  13. J. Koomey. Estimating total power consumption by servers in the US and the world, Technical report. Technical report, Lawrence Berkeley National Laboratory Stanford University, February 2007.Google ScholarGoogle Scholar
  14. M. Satyanarayanan, B. Gilbert, M. Toups, N. Tolia, D. O'Hallaron, A. Surie, A. Wolbach, J. Harkes, A. Perrig, D. Farber, et al. Pervasive personal computing in an internet suspend/resume system. IEEE Internet Computing, pages 16--25, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. R. Steinmetz and K. Wehrle. Peer-to-Peer Systems and Applications (LNCS). Springer-Verlag New York, Secaucus, NJ, USA, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. I. Stoica, R. Morris, D. Karger, M. F. Kaashoek, and H. Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. In SIGCOMM '01, pages 149--160. ACM Press, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. L. Vaquero, L. Rodero-Merino, J. Caceres, and M. Lindner. A break in the clouds: towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1):50--55, 2008. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. C. Webber, J. Roberson, M. McWhinney, R. Brown, M. Pinckard, and J. Busch. After-Hours Power Status of Office Equipment in the USA. Energy-the International Journal, 31(14):2487--2502, 2006.Google ScholarGoogle ScholarCross RefCross Ref

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        cover image ACM Other conferences
        e-Energy '10: Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
        April 2010
        239 pages
        ISBN:9781450300421
        DOI:10.1145/1791314

        Copyright © 2010 ACM

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        Publication History

        • Published: 13 April 2010

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