• DocumentCode
    2017777
  • Title

    WSRF-Based Distributed Visualization

  • Author

    Yi Liu ; Shu Gao

  • Author_Institution
    Sch. of Comput. Sci., Wuhan Univ. of Technol., Wuhan
  • fYear
    2009
  • fDate
    18-21 May 2009
  • Firstpage
    615
  • Lastpage
    619
  • Abstract
    This paper presents a framework that extends traditional visualization for supporting distributed visualization in grid environments. This framework adopts the emerging Web services resource framework (WSRF) to deploy visualization algorithms as Web Service on grid nodes. These visualization algorithms are developed by visualization toolkit (VTK) library. Triana, an open source problem solving environment, is used to fulfill a userpsilas requests for any deployed visualization algorithm on local or remote computing node. And Ganglia, a scalable distributed monitoring system for high-performance computing systems such as clusters and grids, by getting state information of each grid node, can help a user to select the appropriate grid nodes as computing nodes executing distributed visualization tasks. To evaluate the feasibility of the proposed framework, a case study is presented.
  • Keywords
    Web services; data visualisation; grid computing; Ganglia-scalable distributed monitoring system; Triana-open source problem solving environment; VTK; WSRF-based distributed visualization; Web services resource framework; grid computing; high-performance computing system; visualization toolkit library; Clustering algorithms; Computer architecture; Computer science; Data visualization; Distributed computing; Graphical user interfaces; Grid computing; Libraries; Problem-solving; Web services; WSRF; distributed visualization; visualization algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2009. CCGRID '09. 9th IEEE/ACM International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3935-5
  • Electronic_ISBN
    978-0-7695-3622-4
  • Type

    conf

  • DOI
    10.1109/CCGRID.2009.64
  • Filename
    5071931