• DocumentCode
    3469206
  • Title

    Understanding Grid resource information management through a synthetic database benchmark/workload

  • Author

    Plale, Beth ; Jacobs, Craig ; Jensen, Scott ; Liu, Ying ; Moad, Charlie ; Parab, Rupali ; Vaidya, Prajakta

  • Author_Institution
    Dept. of Comput. Sci., Indiana Univ., Bloomington, IN, USA
  • fYear
    2004
  • fDate
    19-22 April 2004
  • Firstpage
    277
  • Lastpage
    284
  • Abstract
    Management of Grid resource information is a challenging, and important area considering the potential size of the Grid and wide range of resources that should be represented. Though example Grid Information Servers exist, behavior of these servers across different platforms is less well understood. This paper describes a study we undertook to compare the access language and platform capabilities for three different database platforms, relational, native XML, and LDAP, serving as a Grid information server. Our study measures query response times for a range of queries and highlights sensitivities exhibited by the different platforms to variables such as result set size and collection size.
  • Keywords
    XML; distributed databases; grid computing; performance evaluation; query languages; relational databases; resource allocation; Grid information server; Grid resource information management; LDAP; access language; collection size; native XML; platform capabilities; query response times; relational database; result set size; synthetic database benchmark; workload; Area measurement; Computational Intelligence Society; Computer science; Data models; Information management; Jacobian matrices; Relational databases; Resource management; Web services; XML;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2004. CCGrid 2004. IEEE International Symposium on
  • Print_ISBN
    0-7803-8430-X
  • Type

    conf

  • DOI
    10.1109/CCGrid.2004.1336578
  • Filename
    1336578