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VPSF: A parallel signature file technique using vertical partitioning and extendable hashing

    • Electronics and Telecommunications Research Institute

    Research output: Contribution to conferenceConference paperpeer-review

    Abstract

    In this paper, we propose a Vertically-partitioned Parallel Signature File (VPSF) method which can partition a signature file vertically. Our VPSF method uses an extendable hashing technique for dynamic environment and uses a frame-sliced signature file technique for efficient retrieval. Our VPSF method also can eliminate the data skew and the execution skew by allocating each frame to a processing node. To prove the efficiency of our VPSF method, we compare its performance with those of the conventional parallel signature file methods, i.e., HPSF and HF, in terms of retrieval time, storage overhead, and insertion time. The experiment runs on several distributions with normal, half, and double standard deviations of the real data. The result shows that our VPSF achieves about 40% better retrieval performance than the HF in all cases. In addition, we show that our VPSF gains about 20~50% improvement in retrieval time, compared with the HF and HPSF on record sets with the half deviation. As a result, our VPSF generally outperforms on retrieval performance when the records of a database are uniform in size.

    Original languageEnglish
    Title of host publicationDatabase and Expert Systems Applications - 10th International Conference, DEXA 1999, Proceedings
    EditorsTrevor J. M. Bench-Capon, Giovanni Soda, A. Min Tjoa
    PublisherSpringer Verlag
    Pages166-175
    Number of pages10
    ISBN (Print)3540664483, 9783540664482
    DOIs
    StatePublished - 1999
    Event10th International Conference on Database and Expert Systems Applications, DEXA 1999 - Florence, Italy
    Duration: 1999.08.301999.09.3

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume1677
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Conference on Database and Expert Systems Applications, DEXA 1999
    Country/TerritoryItaly
    CityFlorence
    Period99.08.3099.09.3

    Quacquarelli Symonds(QS) Subject Topics

    • Computer Science & Information Systems

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