• DocumentCode
    3036678
  • Title

    Comparison of parallel algorithms for path expression query in object database systems

  • Author

    Wang, Guoren ; Yu, Ge ; Kaneko, Kunihiko ; Makinouchi, Akifumi

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2001
  • fDate
    21-21 April 2001
  • Firstpage
    250
  • Lastpage
    257
  • Abstract
    Proposes a new parallel algorithm for computing path expressions, named the "parallel cascade semi-join" (PCSJ) algorithm. Moreover, a new scheduling strategy called the "right-deep zigzag tree" is designed to further improve the performance of the PCSJ algorithm. The experiments have been implemented in a distributed and parallel NOW (network of workstations) environment. The results show that the PCSJ algorithm outperforms two other parallel algorithms [the parallel forward pointer chasing (PFPC) algorithm and the index-splitting parallel algorithm (IndexSplit)] when computing path expressions with restrictive predicates, and that the right-deep zigzag tree scheduling strategy has a better performance than the right-deep tree scheduling strategy.
  • Keywords
    object-oriented databases; parallel algorithms; query processing; scheduling; tree data structures; workstation clusters; IndexSplit algorithm; algorithm performance; distributed parallel environment; index splitting; object database systems; parallel algorithms; parallel cascade semi-join algorithm; parallel forward pointer chasing algorithm; path expression queries; restrictive predicates; right-deep zigzag tree; scheduling strategy; workstation network; Algorithm design and analysis; Binary search trees; Concurrent computing; Data engineering; Database systems; Object oriented databases; Parallel algorithms; Scheduling algorithm; Software libraries; Spatial databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Systems for Advanced Applications, 2001. Proceedings. Seventh International Conference on
  • Conference_Location
    Hong Kong, China
  • Print_ISBN
    0-7695-0996-7
  • Type

    conf

  • DOI
    10.1109/DASFAA.2001.916385
  • Filename
    916385