Data placement in a parallel DBMS with multiple disks

C. S. Pua; Howard Williams; D. H. Marwick

doi:10.1016/S0950-5849(00)00135-X

Data placement in a parallel DBMS with multiple disks

C. S. Pua, Howard Williams, D. H. Marwick

Research output: Contribution to journal › Article › peer-review

Abstract

Various strategies have been developed to assist in determining an effective data placement for a parallel database system. However, little work has been done on assessing the relative performance obtained from different strategies. This paper studies the effects of different data placement strategies on a shared-nothing parallel relational database system when the number of disks attached to each node is varied. Three representative strategies have been used for the study and the performance of the resulting configuration has been assessed in the context of the TPC-C benchmark running on a specific parallel system. Results show an increase in sensitivity to data placement strategy with increasing number of disks per node.

Original language	English
Pages (from-to)	41-51
Number of pages	11
Journal	Information and Software Technology
Volume	43
Issue number	1
DOIs	https://doi.org/10.1016/S0950-5849(00)00135-X
Publication status	Published - 1 Jan 2001

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abstract = "Various strategies have been developed to assist in determining an effective data placement for a parallel database system. However, little work has been done on assessing the relative performance obtained from different strategies. This paper studies the effects of different data placement strategies on a shared-nothing parallel relational database system when the number of disks attached to each node is varied. Three representative strategies have been used for the study and the performance of the resulting configuration has been assessed in the context of the TPC-C benchmark running on a specific parallel system. Results show an increase in sensitivity to data placement strategy with increasing number of disks per node.",

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Data placement in a parallel DBMS with multiple disks

Abstract

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