• DocumentCode
    1630968
  • Title

    An algorithm for resolving the join component selection problem in parallel join optimization

  • Author

    Esquivel, James ; Chan, Philip

  • Author_Institution
    Comput. Studies Dept., De La Salle Univ.-Dasmarinas, Cavite, Philippines
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    39
  • Lastpage
    44
  • Abstract
    The use of a page-level join index in parallel join optimization requires a proper sequence for accessing data pages in the form of join components. The current approach to this method involves a strategy that first retrieves those components with a high number of page joins so as to keep all processors busy early in the join execution. However, problems regarding conflicts with other valid reading strategies and the choice of an appropriate component whenever several of them satisfy the selection criterion have not been specifically addressed We call such conflicts the join component selection (JCS) problem. To resolve this problem, this paper proposes appropriate component retrieval strategies that will further optimize the parallel join execution. Simulation results demonstrate an improvement over the existing one
  • Keywords
    parallel algorithms; query processing; relational databases; data page access; join component selection; page-level join index; parallel join optimization; reading strategies; simulation; Bipartite graph; Concurrent computing; Ear; Educational institutions; Joining processes; Multiprocessing systems; Parallel algorithms; Parallel architectures; Query processing; Relational databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Architectures, Algorithms and Networks, 2002. I-SPAN '02. Proceedings. International Symposium on
  • Conference_Location
    Makati City, Metro Manila
  • ISSN
    1087-4089
  • Print_ISBN
    0-7695-1579-7
  • Type

    conf

  • DOI
    10.1109/ISPAN.2002.1004259
  • Filename
    1004259