Title
Including The Load Balancing Issue In The Optimization Of Multi-Way Join Queries For Shared-Nothing Database Computers
Abstract
A consensus on parallel architecture for very large database management has emerged. This architecture is based on a shared-nothing hardware organization. This computation model, however, is very sensitive to the skewness in the tuple distribution. Recently, several parallel join algorithms with dynamic load balancing capabilities have been proposed to address this issue. However, none of these algorithms consider the multi-way join problems. In this paper, we propose a dynamic load balancing technique for multi-way joins, and investigate the effect of load balancing on query optimization.
Publication Date
1-1-1993
Publication Title
Proceedings of the 2nd International Conference on Parallel and Distributed Information Systems, PDIS 1993
Number of Pages
74-83
Document Type
Article; Proceedings Paper
Identifier
scopus
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/PDIS.1993.253069
Copyright Status
Unknown
Socpus ID
84983640669 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84983640669
STARS Citation
Kien, A. Hua; Lo, Yu Lung; and Young, Honesty C., "Including The Load Balancing Issue In The Optimization Of Multi-Way Join Queries For Shared-Nothing Database Computers" (1993). Scopus Export 1990s. 592.
https://stars.library.ucf.edu/scopus1990/592