• DocumentCode
    1820949
  • Title

    Maximizing Cloud Providers´ Revenues via Energy Aware Allocation Policies

  • Author

    Mazzucco, Michele ; Dyachuk, Dmytro ; Deters, Ralph

  • Author_Institution
    Univ. of Cyprus, Nicosia, Cyprus
  • fYear
    2010
  • fDate
    5-10 July 2010
  • Firstpage
    131
  • Lastpage
    138
  • Abstract
    Cloud providers, like Amazon, offer their data centers´ computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users´ experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.
  • Keywords
    Internet; computer centres; power aware computing; cloud provider revenue maximization; cloud providers; dynamic powering servers; energy aware allocation policies; Biological system modeling; Electricity; Equations; Mathematical model; Power demand; Servers; Switches; cloud; data centers; energy efficiency; green computing; power consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-8207-8
  • Electronic_ISBN
    978-0-7695-4130-3
  • Type

    conf

  • DOI
    10.1109/CLOUD.2010.68
  • Filename
    5558002