• DocumentCode
    2837857
  • Title

    Green Web Services: Modeling and Estimating Power Consumption of Web Services

  • Author

    Bartalos, Peter ; Blake, M. Brian

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, South Bend, IN, USA
  • fYear
    2012
  • fDate
    24-29 June 2012
  • Firstpage
    178
  • Lastpage
    185
  • Abstract
    Service-oriented computing enables organizations to package their offerings as modular, self-contained services. As these organizational capabilities are more commonly distributed, perhaps redundantly, across cloud environments, there is an opportunity to provision services in locations that maximize energy-efficiency. In this paper, we introduce a process, model, and power estimation techniques to facilitate a priori decision support with respect to provisioning software services in context of the server on which they reside. Favorable results from our experiments demonstrate the ability to estimate the power consumption of web services while differentiating energy-efficiency of redundant instances.
  • Keywords
    Web services; decision support systems; environmental factors; power aware computing; a priori decision support; energy-efficiency maximization; green Web services; power consumption estimation; power consumption modeling; power estimation techniques; service-oriented computing; software services; Computational modeling; Estimation; Power demand; Power measurement; Radiation detectors; Servers; Web services; Energy-aware computing; architectural support for energy aware computing; green web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Services (ICWS), 2012 IEEE 19th International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    978-1-4673-2131-0
  • Type

    conf

  • DOI
    10.1109/ICWS.2012.36
  • Filename
    6257805