• DocumentCode
    655121
  • Title

    Energy-Aware Process Design Optimization

  • Author

    cappiello, cinzia ; Plebani, Pierluigi ; Vitali, Marco

  • Author_Institution
    Dipt. di Elettron., Inf. e Bioingegneria, Milan, Italy
  • fYear
    2013
  • fDate
    Sept. 30 2013-Oct. 2 2013
  • Firstpage
    451
  • Lastpage
    458
  • Abstract
    Cloud computing has a big impact on the environment since the energy consumption and the resulting CO2 emissions of data centers can be compared to the worldwide airlines traffic. Many researchers are addressing such issue by proposing methods and techniques to increase data center energy efficiency. Focusing at the application level, this paper proposes a method to support the process design by optimizing the configuration and deployment. In particular, measuring and monitoring suitable metrics, the presented approach provides a support to the designer to select the way in which it is possible to modify the process deployment in order to continuously guarantee good performance and energy efficiency. The process adaptation can be required when inefficiencies occur or when, although the system is efficient, there is still room for improvements.
  • Keywords
    cloud computing; computer centres; energy conservation; optimisation; power aware computing; carbon dioxide emissions; cloud computing; data center energy efficiency; energy consumption; energy-aware process design optimization; process deployment; Air pollution; Bayes methods; Green products; Measurement; Monitoring; Optimization; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud and Green Computing (CGC), 2013 Third International Conference on
  • Conference_Location
    Karlsruhe
  • Type

    conf

  • DOI
    10.1109/CGC.2013.77
  • Filename
    6686069