• DocumentCode
    1607849
  • Title

    Issues in implementing a scientific data Grid based on Peer-to-Peer architecture

  • Author

    Abdullah, Azizol ; Othman, Mohamed ; Sulaiman, Md Nasir ; Ibrahim, Haidi ; Othman, Abu Talib

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2006
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Grid and peer-to-peer (P2P) networks enable the sharing and aggregation of geographically distributed resources. Grids mostly deal with large computational problems and provide geographically distributed resources for large-scale data-intensive applications that generate large data sets, whereas P2P provides a way for sharing huge volumes of data. In a modern scientific computing, the communities of researchers involves in organizing, moving, visualizing, and analyzing massive amounts of a very large data collections in a geographically distributed environment. Research in the area of grid and P2P computing; have given us various ideas and solutions to address the problems. One of the most challenging issues in grid computing that address above requirements is locating and sharing remote data. In this paper, we illustrate the idea of using P2P approach for locating and sharing data in scientific data grid environment through our P2P scientific data grid framework.
  • Keywords
    grid computing; natural sciences computing; peer-to-peer computing; P2P; data sharing; geographically distributed resource; large-scale data-intensive application; peer-to-peer architecture; resource aggregation; scientific data grid computing; Collaboration; Computer architecture; Data visualization; Distributed computing; Grid computing; Organizing; Peer to peer computing; Physics; Project management; Scientific computing; data grid; data sharing; peer-to-peer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing & Informatics, 2006. ICOCI '06. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-0219-9
  • Electronic_ISBN
    978-1-4244-0220-5
  • Type

    conf

  • DOI
    10.1109/ICOCI.2006.5276456
  • Filename
    5276456