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A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array

A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array

K. M. Azharul Hasan, Tatsuo Tsuji, Ken Higuchi
Copyright: © 2006 |Volume: 2 |Issue: 4 |Pages: 20
ISSN: 1548-3924|EISSN: 1548-3932|ISSN: 1548-3924|EISBN13: 9781615202102|EISSN: 1548-3924|DOI: 10.4018/jdwm.2006100104
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MLA

Azharul Hasan, K. M., et al. "A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array." IJDWM vol.2, no.4 2006: pp.66-85. http://doi.org/10.4018/jdwm.2006100104

APA

Azharul Hasan, K. M., Tsuji, T., & Higuchi, K. (2006). A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array. International Journal of Data Warehousing and Mining (IJDWM), 2(4), 66-85. http://doi.org/10.4018/jdwm.2006100104

Chicago

Azharul Hasan, K. M., Tatsuo Tsuji, and Ken Higuchi. "A Parallel Implementation Scheme of Relational Tables Based on Multidimensional Extendible Array," International Journal of Data Warehousing and Mining (IJDWM) 2, no.4: 66-85. http://doi.org/10.4018/jdwm.2006100104

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Abstract

In this article, an efficient parallel implementation scheme of relational tables is proposed and evaluated. The scheme implements a relational table by employing an extendible multidimensional array. Data allocation is a key performance factor for parallel database systems. This holds especially for data warehousing environments in which huge amounts of data have to be dealt with. In our scheme, an efficient data allocation technique is used, based on the notion of extendible array. The dynamic load balancing is conducted when load on each processor is not uniformly distributed in order to maximize processor utilization.

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