• DocumentCode
    581115
  • Title

    CoolEmAll - Models and tools for optimization of data center energy-efficiency

  • Author

    Berge, Micha Vor dem ; Christmann, Wolfgang ; Volk, Eugen ; Wesner, Stefan ; Oleksiak, Ariel ; Piontek, Tomasz ; Costa, Georges Da ; Pierson, Jean-Marc

  • Author_Institution
    Christmann Informationstechnik + Medien, Ilsede, Germany
  • fYear
    2012
  • fDate
    4-5 Oct. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper we present objectives and expected results of the CoolEmAll project that aims at improving energy-efficiency of data centers. To achieve this goal, CoolEmAll works on data center simulation and visualization tools (SVD Toolkit) and models of data center efficiency building blocks (DEBBs) that will be used by the SVD Toolkit to facilitate simulations and ensure their high quality. Using these models and tools data center designers and operators will be able to analyze and optimize both existing and planned data centers. By taking into consideration several important aspect that affect energy efficiency, the project is going to enable analysis of data centers under various conditions including low levels of loads, diverse management methods, specific cooling systems and IT equipment configurations.
  • Keywords
    computer centres; cooling; data visualisation; energy conservation; optimisation; power aware computing; CoolEmAll project; DEBB; IT equipment configurations; SVD Toolkit; data center designers; data center efficiency building blocks; data center energy efficiency optimization; data center operators; data center simulation tools; data center visualization tools; diverse management methods; specific cooling systems; Atmospheric modeling; Computational modeling; Cooling; Data models; Data visualization; Load modeling; Measurement; data centers; energy efficiency; simulations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sustainable Internet and ICT for Sustainability (SustainIT), 2012
  • Conference_Location
    Pisa
  • Print_ISBN
    978-1-4673-2031-3
  • Type

    conf

  • Filename
    6388028