• DocumentCode
    3111534
  • Title

    TSR: Topology Reduction from Tree to Star Data Grids

  • Author

    Ming-Chang Lee ; Fang-Yie Leu ; Ying-ping Chen

  • Author_Institution
    Dept. of Comput. Sci., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    3-5 July 2013
  • Firstpage
    678
  • Lastpage
    683
  • Abstract
    To speed up data transmission of data grids, several co-allocation schemes have been proposed. However, data grids are often large in scale, heterogeneous in participating resources, and complicated in architecture and network topology, consequently increasing the analytical complexity of its data transmission behaviour. In other words, if we can reduce the data transmission topology for the grid, the analysis will be easier. Therefore, in this paper, we propose a topology reduction approach, called the Tree-to-Star Reduction method (TSR for short), which can reduce a packet delivery tree topology to a star for a data grid so that the data transmission of a co-allocation scheme can be more conveniently analyzed. Here, a delivery tree topology, as a tree topology rooted at the destination node, is a network topology for delivering all fragments of a file to the destination node.
  • Keywords
    grid computing; telecommunication network topology; trees (mathematics); TSR; architecture; coallocation schemes; data grids; data transmission behaviour; data transmission speed; data transmission topology; destination node; network topology; packet delivery tree topology; topology reduction; tree-to-star reduction method; Bandwidth; Computer science; Data communication; Delays; Educational institutions; Network topology; Topology; co-allocation scheme; data grid; delivery star; delivery tree; topology reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2013 Seventh International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/IMIS.2013.122
  • Filename
    6603756