Title
A general multidimensional data allocation method for multicomputer database systems
Abstract
Several studies have demonstrated that both the performance and scalability of a shared-nothing parallel database system depend on the physical layout of data across the processing nodes of the system. Today, data is allocated in these systems using horizontal partitioning strategies. Tiffs approach has a number of drawbacks. In recent years, several multidimensional data declustering techniques have been proposed to address these problems. However, these schemes are too restrictive, or optimized for a certain type of queries. In this paper, we introduce a new technique which is flexible, and performs well for general queries.
Publication Date
1-1-1997
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
1308
Number of Pages
357-366
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/bfb0022045
Copyright Status
Unknown
Socpus ID
84947793435 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84947793435
STARS Citation
Lo, Yu Lung; Hua, Kien A.; and Young, Honesty C., "A general multidimensional data allocation method for multicomputer database systems" (1997). Scopus Export 1990s. 2694.
https://stars.library.ucf.edu/scopus1990/2694