IDEAS home Printed from https://ideas.repec.org/a/ids/ijbisy/v4y2009i6p622-638.html
   My bibliography  Save this article

An examination of cluster identification-based algorithms for vertical partitions

Author

Listed:
  • Chun-Hung Cheng
  • Jaideep Motwani

Abstract

A major objective in database physical design is to minimise disk access in processing database transactions. Vertical partitioning is a major design approach to ensure fewer disk accesses. In this paper, we consider the use of Cluster Identification (CI)-based approaches to produce vertical partitions in database design. To produce partitions, the existing CI-based approaches either remove attributes or duplicate attributes in the branching scheme. It turns out that the former sometimes gives undesirable partitions and that the latter produces overlapping partitions. To overcome these deficiencies, we propose to remove accesses in the branching scheme. Illustrative examples are used to show the effectiveness of this branching scheme. A computational study is also conducted. In addition, the new approach is extended to deal with a vertical partition case considering frequencies of accesses.

Suggested Citation

  • Chun-Hung Cheng & Jaideep Motwani, 2009. "An examination of cluster identification-based algorithms for vertical partitions," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 4(6), pages 622-638.
    • Handle: RePEc:ids:ijbisy:v:4:y:2009:i:6:p:622-638
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=26695
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijbisy:v:4:y:2009:i:6:p:622-638. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=172 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.