Springer Nature is making SARS-CoV-2 and COVID-19 research free. View research | View latest news | Sign up for updates

Designing and evaluating an energy efficient Cloud


Cloud infrastructures have recently become a center of attention. They can support dynamic operational infrastructures adapted to the requirements of distributed applications. As large-scale distributed systems reach enormous sizes in terms of equipment, the energy consumption issue becomes one of the main challenges for large-scale integration. Like any other large-scale distributed system, Clouds face an increasing demand in energy. In this paper, we explore the energy issue by analyzing how much energy virtualized environments cost. We provide an energy-efficient framework dedicated to Cloud architectures and we validate it through different experimentations on a modern multicore platform. We show on a realistic example that our infrastructure could save 25% of the Cloud nodes’ electrical consumption.

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

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.


  1. 1.

    Boss G, Malladi P, Quan D, Legregni L, Hall H (2007) Cloud computing. Technical report, IBM, 8 October

  2. 2.

    Business Week (2009) With Sun, IBM Aims for Cloud Computing Heights, 26 March

  3. 3.

    Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I (2009) Cloud computing and emerging IT platforms: vision, hype, and reality for delivering computing as the 5th utility. Future Gener Comput Syst 25(6):599–616

  4. 4.

    Cappello F et al. (2005) Grid’5000: A large scale, reconfigurable, controllable and monitorable grid platform. In: 6th IEEE/ACM international workshop on grid computing, Grid’2005, Seattle, Washington, USA, November 2005

  5. 5.

    Clark C, Fraser K, Hand S, Hansen JG, Jul E, Limpach C, Pratt I, Warfield A (2005) Live migration of virtual machines. In: NSDI’05: proceedings of the 2nd conference on symposium on networked systems design & implementation, Berkeley, CA, USA, pp 273–286

  6. 6.

    Da-Costa G, Gelas J-P, Georgiou Y, Lefèvre L, Orgerie A-C, Pierson J-M, Richard O, Sharma K (2009) The green-net framework: energy efficiency in large scale distributed systems. In: HPPAC 2009: high performance power aware computing workshop in conjunction with IPDPS 2009, Roma, Italy, May 2009

  7. 7.

    Grit L, Irwin D, Yumerefendi A, Chase J (2006) Virtual machine hosting for networked clusters: Building the foundations for “autonomic” orchestration. In: VTDC ’06: proceedings of the 2nd international workshop on virtualization technology in distributed computing, Washington, DC, USA

  8. 8.

    Gupta M, Grover S, Singh S (2004) A feasibility study for power management in LAN switches. In: Proceedings of the 12th IEEE international conference onnetwork protocols, ICNP 2004, 5–8 Oct 2004, pp 361–371

  9. 9.

    Hayes B (2008) Cloud computing. Commun ACM 51(7):9–11

  10. 10.

    Hermenier F, Loriant N, Menaud J-M (2006) Power management in grid computing with xen. In: XEN in HPC cluster and grid computing environments (XHPC06), Sorrento, Italy, 2006. LNCS, vol 4331. Springer, Berlin, pp 407–416

  11. 11.

    Iosup A, Dumitrescu C, Epema D, Li Hui, Wolters L (2006) How are real grids used? The analysis of four grid traces and its implications. In: 7th IEEE/ACM international conference on grid computing, September 2006

  12. 12.

    Nathuji R, Schwan K (2007) Virtualpower: coordinated power management in virtualized enterprise systems. In: SOSP ’07: proceedings of twenty-first ACM SIGOPS symposium on operating systems principles, New York, NY, USA, 2007, pp 265–278

  13. 13.

    Nurmi D, Wolski R, Grzegorczyk C, Obertelli G, Soman S, Youseff L, Zagorodnov D (2008) The eucalyptus open-source cloud-computing system. In: Proceedings of cloud computing and its applications, Chicago, Illinois, USA, October 2008

  14. 14.

    Orgerie A-C, Lefèvre L, Gelas J-P (2008) Chasing gaps between bursts: towards energy efficient large scale experimental grids. In: PDCAT 2008: the ninth international conference on parallel and distributed computing, applications and technologies, Dunedin, New Zealand, December 2008, pp 381–389

  15. 15.

    Orgerie A-C, Lefèvre L, Gelas J-P (2008) Save watts in your grid: Green strategies for energy-aware framework in large scale distributed systems. In: 14th IEEE international conference on parallel and distributed systems (ICPADS), Melbourne, Australia, December 2008, pp 171–178

  16. 16.

    Srikantaiah S, Kansal A, Zhao F (2008) Energy aware consolidation for cloud computing. In: Proceedings of HotPower ’08 workshop on power aware computing and systems, December 2008

  17. 17.

    Talaber R, Brey T, Lamers L (2009) Using virtualization to improve data center efficiency. Technical report, The Green Grid

  18. 18.

    Travostino F, Daspit P, Gommans L, Jog C, de Laat C, Mambretti J, Monga I, van Oudenaarde B, Raghunath S, Wang PY (2006) Seamless live migration of virtual machines over the man/wan. Future Gener Comput Syst 22(8):901–907

  19. 19.

    Voorsluys W, Broberg J, Venugopal S, Buyya R (2009) Cost of virtual machine live migration in clouds: a performance evaluation. Technical report, Clouds Laboratory, University of Melbourne, Australia, 5 April

Download references

Author information

Correspondence to Anne-Cécile Orgerie.

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Lefèvre, L., Orgerie, A. Designing and evaluating an energy efficient Cloud. J Supercomput 51, 352–373 (2010). https://doi.org/10.1007/s11227-010-0414-2

Download citation


  • Energy efficiency
  • Clouds
  • Virtualization
  • Migration
  • Energy awareness
  • Power management