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Derived Horizontal Class Partitioning in OODBs: Design Strategies, Analytical Model, and Evaluation

  • Ladjel Bellatreche
  • Kamalakar Karlapalem
  • Qing Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1507)

Abstract

Object oriented database systems (OODBSs) have been used for advanced applications that require not only additional data modeling capabilities, but also for efficient query processing. In this paper, we apply the derived horizontal class partitioning (DHCP) technique to facilitate efficient execution of a set of queries. We apply the existing algorithms for determining horizontal class partitioning of a class for a given set of queries. Our contribution is in developing strategies for deciding the derived horizontal class partitioning of the classes, developing an analytical cost model for determining the cost of processing queries under horizontal class partitioning, and conducting experiments to evaluate the utility of DHCP in efficiently executing the queries. The experimental results show that DHCP improves the overall efficiency of query execution under different object sizes and cardinality of classes, fan-out of the classes and DHCP of all classes along the class-composition hierarchy gives the best result. Further, we have classified the queries to determine the effect of DHCP on different types of queries. In particular, we find that DHCP has detrimental affect on queries that access only one class. Thus, the results from this work can be used to design object-oriented databases to efficiently process a set of queries.

Keywords

Query Processing Query Execution Member Class Conjunctive Query Class Project 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Ladjel Bellatreche
    • 1
  • Kamalakar Karlapalem
    • 1
  • Qing Li
    • 2
  1. 1.University of Science and TechnologyKowloon, Hong Kong
  2. 2.Hong Kong Polytechnic UniversityKowloon, Hong Kong

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