Energy Efficiency Dependency Analysis for a Data Center

  • Iulia Dumitru
  • Stéphane Ploix
  • Ioana Făgărăşan
  • Sergiu Stelian Iliescu
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 187)


Data centers energy efficiency has become an issue given the rising of energy prices and the increase of Web applications, which are hosted, mainly in data centers. In order to understand the opportunities for improving data center energy efficiency, it is necessary to determinate the real energy requirements for one computer application. This article will examine the power chain starting from the facility level and ending at the processor level. In this paper a data center energy model is proffered along with two important indicators that address energy efficiency: the first one is addressing Facility Efficiency and the second one is addressing IT Efficiency. The energy model is taking into account a global overview of the data center (power distribution units, cooling system and the IT system). The aim of the research is to find effective solutions to make data center reduce power consumption while keeping the desired quality of service or service level agreement.


data center energy efficiency energy management efficiency indicators simulation and modeling 


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  1. 1.
    Kant, K.: Data center evolution. A tutorial on state of the art, issues, and challenges. Computer Networks 53(17), 2939–2965 (2009)CrossRefGoogle Scholar
  2. 2.
    Rasmussen, N.: Electrical efficiency modeling for data centers. American Power Conversion by Schneider Electric, White Paper 113 (2009)Google Scholar
  3. 3.
    Iliescu, S.S., Fagarasan, I.: Modern approaches in power system control. In: 16th IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR 2008), vol. 1(1), pp. 41–44 (2008)Google Scholar
  4. 4.
    Dumitru, I., Ploix, S.: Data center control guidelines for obtaining energy efficiency. In: Proceedings of the 18th International Conference on Control Systems and Computer Science, CSCS 18 (2011)Google Scholar
  5. 5.
    Needle, B.J.: Minimizing energy costs in. data centers: Energy management by d sign. The Magazine of 7x24 Exchange International NewsLink (2008)Google Scholar
  6. 6.
    Belady, C., Patterson, M.: The green grid productivity indicator. The Green Grid White Paper 15 (2008)Google Scholar
  7. 7.
    Power, E.N.: Energy logic: Calculating and prioritizing your data center it efficiency actions. A White Paper from the Experts in Business-Critical ContinuityTM (2009)Google Scholar
  8. 8.
    Avelar, V.: Méthode de calcul de l’efficacité énergétique (PUE) dans les datacenters. American Power Conversion by Schneider Electric, White Paper 158 (2010)Google Scholar
  9. 9.
    Verdun, G., Azevedo, D., et al.: The green grid metrics: Data center infrastructure efficiency (DCiE) detailed analysis. The Green Grid White Paper 14 (2008)Google Scholar
  10. 10.
    Ursianu, V., Moldoveanu, F., Ursianu, R., Ursianu, E.: Software quality assurance for monitoring and control systems in the energy field. In: Proceedings of the 18th International Conference on Control Systems and Computer Science (CSCS 18), vol. 2(1), pp. 811–818 (2011)Google Scholar
  11. 11.
    Dumitru, I., Fagarasan, I., Iliescu, S., Said, Y., Ploix, S.: Increasing energy efficiency in data centers using energy management, pp. 159–165 (August 2011)Google Scholar
  12. 12.
    Wustenhoff, E.: Service level agreement in data center. Sun BluePrintsł OnLine (2002)Google Scholar
  13. 13.
    Haas, J., Monroe, M., Pflueger, J., Pouchet, J., Snelling, P., Rawson, A., Rawson, F.: Proxies proposals for measuring data center efficiency. The Green Grid White Paper 17 (2008)Google Scholar
  14. 14.
    Qureshi, A.: Power-demand routing in massive geo-distributed systems. Thesis - Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (2010)Google Scholar
  15. 15.
    Warkozek, G., Drayer, E., Debusschere, V., Bacha, S.: A new approach to model energy consumption of servers in data centers. In: IEEE International Conference on Industrial Technology ICIT (2012)Google Scholar
  16. 16.
    Benchmark, S.: ssj2008,
  17. 17.
    Rajarshi, D., Kephart, J.O., Jonathan, L., Hendrik, H.: Utility-function-driven energy efficient cooling in data centers. In: Proceeding of the 7th International Conference on Autonomic Computing, ICAC 2010, pp. 61–70. ACM, New York (2010)Google Scholar
  18. 18.
    Moore, J., Chase, J., Ranganathan, P., Sharma, R.: Making scheduling ”cool”: Temperature-aware resource assignment in data centers. In: Proceedings of the 2005 US NIX Annual Technical Conference (2005)Google Scholar
  19. 19.
    Tang, Q., Gupta, E.K.S., Varsamopoulos, G.: Energy-efficient thermal-aware task scheduling for homogeneous high-performance computing data centers: A cyber-physical approach. IEEE Transactions on Parallel and Distributed Systems 19(11) (2008)Google Scholar
  20. 20.
    PG&E, High tech energy efficiency baselines: Data centers, PG&E’s Customized New Construction and Customized Retrofit Incentive Programs (2010)Google Scholar
  21. 21.
    Hamilton, J.: Cloud computing economies of scale. Amazon Presentation (2010)Google Scholar
  22. 22.
    Xiaobo, F., Wolf-Dietrich, W., Andre, B.L.: Power provisioning for a warehouse-sized computer. In: Proceedings of the 34th Annual International Symposium on Computer Architecture, ISCA 2007, pp. 13–23. ACM, New York (2007)Google Scholar
  23. 23.
    Avelar, V.: Making large ups systems more efficient. American Power Conversion by Schneider Electric, White Paper 108 (2006)Google Scholar
  24. 24.
    Eaton, Eaton: Ups efficiency calculator,
  25. 25.
    Said, Y., Bergeon, S., Ploix, S., Giap, Q., Dumitru, I.: Towards a global energy management within a data center, pp. 1–8 (October 2011)Google Scholar
  26. 26.
    Dumitru, I., Stamatescu, G.: Dynamic management techniques for increasing energy efficiency within a data center. In: The 1st Unite Doctoral Symposium (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Iulia Dumitru
    • 1
    • 2
  • Stéphane Ploix
    • 2
  • Ioana Făgărăşan
    • 1
  • Sergiu Stelian Iliescu
    • 1
  1. 1.Department of Automatic Control and Industrial InformaticsUniversity POLITEHNICA of BucharestBucharestRomania
  2. 2.G-SCOP LaboratoryINP GrenobleGrenobleFrance

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