A new parallel CBF method for shared-nothing cluster-based architecture

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    Abstract

    To efficiently retrieve high-dimensional data in multimedia database and data warehousing applications, the VA-file and the CBF (Cell-based filtering) method have been proposed. But they show a linear decreasing on performance as the dimensionality. To cope with the problem, we, in this paper, propose a new parallel CBF method for shared-nothing (SN) cluster-based parallel architecture. In addition, we devise data insertion, range query processing, and k-NN query processing algorithms that are suitable for the SN parallel architecture. Finally, we show that our parallel CBF method achieves good retrieval performance in proportion to the number of servers in the SN parallel architecture, compared with the conventional CBF method.

    Original languageEnglish
    Title of host publicationProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Sytems
    EditorsT. Gonzalez
    Pages105-110
    Number of pages6
    Edition1
    StatePublished - 2003
    EventProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems - Marina del Rey, CA, United States
    Duration: 2003.11.32003.11.5

    Publication series

    NameProceedings of the IASTED International Conference on Parallel and Distributed Computing and Systems
    Number1
    Volume15

    Conference

    ConferenceProceedings of the Fifteenth IASTED International Conference on Parallel and Distributed Computing and Systems
    Country/TerritoryUnited States
    CityMarina del Rey, CA
    Period03.11.303.11.5

    Keywords

    • Cluster-based parallel architecture
    • Parallel CBF method
    • Shared-nothing architecture

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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