• DocumentCode
    509378
  • Title

    QoS Based Parallel File Transfer for Grid Economics

  • Author

    Hsu, Ching-Hsien ; Chen, Tai-Lung ; Lee, Kun-Ho

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Chung Hua Univ., Hsinchu, Taiwan
  • Volume
    1
  • fYear
    2009
  • fDate
    18-20 Nov. 2009
  • Firstpage
    653
  • Lastpage
    657
  • Abstract
    There are many research make use of grid computing to solve large-scale problems and produced at a tremendous velocity and volume from scientific experiments in the fields of high energy physics, molecular docking, computer micro-tomography and many others. Distribute fairly available resources is one of the problem in grid computing and economy model is a way to solve those problems about distribute resources. In the short term future, the grid will be implemented into enterprises and even the commodity. This paper provided QoS based parallel file transfer on grid economy to cater customers´ requirement. The proposed algorithms found out that best resources to transfer the requested data; decided the size of each replica should be transferred; estimate time and cost to accommodate the requirement.
  • Keywords
    economics; electronic data interchange; grid computing; quality of service; resource allocation; QoS based parallel file transfer; available resources distribution; customer requirements; economy model; enterprises; grid computing; grid economics; large-scale problems; Computer architecture; Computer science; Computer security; Costs; Delay; Grid computing; Information security; Large-scale systems; Power engineering and energy; Power generation economics; Grid computing; bandwidth sensitive; parallel downloading;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security, 2009. MINES '09. International Conference on
  • Conference_Location
    Hubei
  • Print_ISBN
    978-0-7695-3843-3
  • Electronic_ISBN
    978-1-4244-5068-8
  • Type

    conf

  • DOI
    10.1109/MINES.2009.282
  • Filename
    5370135