• DocumentCode
    3334022
  • Title

    Skyline-join in distributed databases

  • Author

    Sun, Dalie ; Wu, Sai ; Li, Jianzhong ; Tung, Anthony K H

  • Author_Institution
    Dept. of Comput. Sci. & Technol., Harbin Inst. of Technol., Harbin
  • fYear
    2008
  • fDate
    7-12 April 2008
  • Firstpage
    176
  • Lastpage
    181
  • Abstract
    The database research community has recently recognized the usefulness of skyline query. As an extension of existing database operator, the skyline query is valuable for multi-criteria decision making. However, current research tends to assume that the skyline operator is applied to one table which is not true for many applications on Web databases. In Web databases, tables are distributed in different sites, and a skyline query may involve attributes of multiple tables. In this paper, we address the problem of processing skyline queries on multiple tables in a distributed environment. We call the new operator skyline-join, as it is a hybrid of skyline and join operations. We propose two efficient approaches to process skyline-join queries which can significantly reduce the communication cost and processing time. Experiments are conducted and results show that our approaches are efficient for distributed skyline-join queries.
  • Keywords
    distributed databases; query processing; Web database; database table; distributed database; multicriteria decision making; skyline-join query operator; Computer science; Costs; Decision making; Distributed computing; Distributed databases; Educational institutions; Iterative algorithms; Query processing; Sorting; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshop, 2008. ICDEW 2008. IEEE 24th International Conference on
  • Conference_Location
    Cancun
  • Print_ISBN
    978-1-4244-2161-9
  • Electronic_ISBN
    978-1-4244-2162-6
  • Type

    conf

  • DOI
    10.1109/ICDEW.2008.4498313
  • Filename
    4498313