• DocumentCode
    2451024
  • Title

    Multidatabase global query optimization

  • Author

    Ram, Prabhu ; Perrizo, William

  • Author_Institution
    Dept. of Comput. Sci., North Dakota Univ., Grand Forks, ND, USA
  • Volume
    3
  • fYear
    1995
  • fDate
    3-6 Jan 1995
  • Firstpage
    253
  • Abstract
    Data requests to multidatabases are posed through non-procedural languages such as SQL and, for a global data request, optimization must be performed to achieve good system performance. However, the issues are often complicated in multidatabases, due to additional issues arising because of the autonomy and heterogeneity restrictions of the independent local DBMSs. The data translation problem between various local systems can be observed at the schema level and at the instance level. We have identified the need for a domain translation table in multidatabase query processing, and we discuss methods of implementing it. Some observations about multidatabase inter-site joins are made, and four methods by which multidatabase global queries can be processed are introduced and analytically compared
  • Keywords
    distributed databases; query processing; SQL; autonomy restrictions; data translation; domain translation table; global data requests; heterogeneity restrictions; independent local DBMS; instance level; multidatabase global query optimization; multidatabase inter-site joins; nonprocedural languages; schema level; system performance; Application software; Communications technology; Computer aided manufacturing; Computer science; Data processing; Database systems; Hardware; Neodymium; Query processing; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
  • Conference_Location
    Wailea, HI
  • Print_ISBN
    0-8186-6930-6
  • Type

    conf

  • DOI
    10.1109/HICSS.1995.375555
  • Filename
    375555