• DocumentCode
    2617318
  • Title

    A simulation framework for energy efficient data grids

  • Author

    Zong, Ziliang ; Bellam, Kiranmai ; Qin, Xiao ; Yang, Yiming ; Ruan, Xiaojun ; Manzanares, Adam

  • Author_Institution
    Auburn Univ., Auburn
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    1417
  • Lastpage
    1423
  • Abstract
    High performance data grids are increasingly becoming popular platforms to support data-intensive applications. Reducing high energy consumption caused by data grids is a challenging issue. Most previous studies in grid computing focused on performance and reliability without taking energy conservation into account. As such, designing energy-efficient data grid systems became highly desirable. In this paper, we proposed a framework to simulate energy-efficient data grids. We presented an approach to integrate energy-aware allocation strategies into energy-efficient data grids. Our framework aims at simulating a data grid that can conserve energy for data-intensive applications running on data grids.
  • Keywords
    digital simulation; grid computing; power aware computing; scheduling; data-intensive applications; energy consumption; energy efficient data grid systems; energy-aware allocation strategies; grid computing; scheduling phases; simulation framework; Computational modeling; Computer science; Data security; Energy conservation; Energy consumption; Energy efficiency; Grid computing; Middleware; Processor scheduling; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419751
  • Filename
    4419751