Title

Dynamic Load Balancing In Multicomputer Database Systems Using Partition Tuning

Authors

Authors

K. A. Hua; C. Lee;C. M. Hua

Comments

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

Abbreviated Journal Title

IEEE Trans. Knowl. Data Eng.

Keywords

database machine; load balancing; parallel join algorithm; query; processing; relational database; MULTIPROCESSOR; Computer Science, Artificial Intelligence; Computer Science, Information; Systems; Engineering, Electrical & Electronic

Abstract

Shared nothing multiprocessor architecture is known to be more scalable to support very large databases. Compared to other join strategies, a hash-based join algorithm is particularly efficient and easily parallelized for this computation model, However, this hardware structure is very sensitive to the skew in tuple distribution. Unless the parallel hash join algorithm includes some dynamic load balancing mechanism, the skew effect can severely deteriorate the system performance. In this paper, we investigate this issue, in particular, three parallel hash join algorithms are presented, We implement a simulator to study the effectiveness of these schemes. The simulation model is validated by comparing the simulation results to those produced by the actual implementation of the algorithms running on a multiprocessor system. Our performance study indicates that a naive approach is not able to provide tangible savings, However, the carefully designed strategies can offer substantial improvement over conventional techniques for a wide range of skew conditions.

Journal Title

Ieee Transactions on Knowledge and Data Engineering

Volume

7

Issue/Number

6

Publication Date

1-1-1995

Document Type

Article

Language

English

First Page

968

Last Page

983

WOS Identifier

WOS:A1995TL58600011

ISSN

1041-4347

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