• DocumentCode
    3393284
  • Title

    Forecasting data centers power consumption with the Holt-Winters method

  • Author

    Rossi, Maurizio ; Brunelli, Davide

  • Author_Institution
    Dept. of Ind. Eng., Univ. of Trento, Trento, Italy
  • fYear
    2015
  • fDate
    9-10 July 2015
  • Firstpage
    210
  • Lastpage
    214
  • Abstract
    Data centers are rapidly increasing in the last few years and this trend will continue in the future due to the market demand for virtual infrastructures, cloud services and IoT applications. The whole ICT sector is faced with an energy efficiency challenge and data centers represent a significant share of all ICT-related emissions. Improving energy efficiency has therefore become a critical objective for ICT infrastructures and equipment suppliers. To mitigate the electrical energy demand used both for computing and for cooling, many scheduling and planning methods have been proposed. All of them can benefit from accurate predictions of the workload. In this paper we demonstrate how forecasting tools can remarkably increase the energy efficiency of a data center.
  • Keywords
    computer centres; energy conservation; load forecasting; power consumption; power markets; power system planning; Holt-Winter method; IoT application; cloud service; data center power consumption forecasting; electrical energy demand mitigation; energy efficiency; power market; virtual infrastructure; Energy consumption; Forecasting; Green products; Power demand; Prediction algorithms; Renewable energy sources; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental, Energy and Structural Monitoring Systems (EESMS), 2015 IEEE Workshop on
  • Conference_Location
    Trento
  • Print_ISBN
    978-1-4799-8214-1
  • Type

    conf

  • DOI
    10.1109/EESMS.2015.7175879
  • Filename
    7175879