Scheduling Queries For Parallel Execution On Multicomputer Database Management System

    Authors

    Y. L. Lo; K. A. Hua;W. Tavanapong

    Comments

    Authors: contact us about adding a copy of your work at STARS@ucf.edu

    Keywords

    Computer Science, Artificial Intelligence; Computer Science, Information; Systems; Computer Science, Theory & Methods

    Abstract

    In this paper, we investigate two scheduling approaches for multicomputer-based parallel database systems: the competition-based technique allows queries to compete freely for computing resources, while the planning-based scheme relies on a centralized scheduler to plan We execution of all queries. Our studies show that competition-based though provides impressive performance, the planning-based is consistently the better approach.

    Journal Title

    Database and Expert Systems Applications

    Volume

    1134

    Publication Date

    1-1-1996

    Document Type

    Article

    Language

    English

    First Page

    698

    Last Page

    707

    WOS Identifier

    WOS:A1996BH80G00059

    ISSN

    0302-9743; 3-540-61656-X

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