• DocumentCode
    2019456
  • Title

    RED-BL: Energy solution for loading data centers

  • Author

    Ilyas, Muhammad Saqib ; Raza, Saqib ; Chen, Chao-Chih ; Uzmi, Zartash Afzal ; Chuah, Chen-Nee

  • Author_Institution
    SSE, LUMS, Pakistan
  • fYear
    2012
  • fDate
    25-30 March 2012
  • Firstpage
    2866
  • Lastpage
    2870
  • Abstract
    Cloud infrastructure providers and data center operators spend a major portion of their operations budget on the electric bills. We present RED-BL (Relocate Energy Demand to Better Locations), a framework for determining an optimal mapping of workload to an existing set of data centers while considering the cost of workload relocation. Within each workload mapping interval, RED-BL solution exploits the geo diversity in electricity price markets. The temporal diversity in those markets is simultaneously exploited by considering a planning window comprising several mapping intervals. Using workload traces from live Internet applications and electricity prices from the US markets, RED-BL can reduce the electric bill by as much as 81% from the case when the workload is equally distributed. Compared to a single data center deployment, an average reduction of 27% in electric bill can be achieved when RED-BL uses 10 or more data centers, a common case for most operators. When compared to existing workload relocation solutions, RED-BL achieves a further reduction of 13.63%, on average. While modest, this reduction can save millions of dollars for the operators. The cost of this saving is an inexpensive computation at the start of each planning window.
  • Keywords
    cloud computing; computer centres; RED-BL; cloud infrastructure providers; data center operators; electricity prices; live Internet applications; planning window; relocate energy demand to better locations; temporal diversity; workload relocation; Electricity; Greedy algorithms; Internet; Optimization; Planning; Power demand; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INFOCOM, 2012 Proceedings IEEE
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-166X
  • Print_ISBN
    978-1-4673-0773-4
  • Type

    conf

  • DOI
    10.1109/INFCOM.2012.6195717
  • Filename
    6195717