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A Performance Analysis of Alternative Multi-Attribute Declustering Strategies (1992)
| Venue: | In Proc. ACM SIGMOD Int. Conf. on Management of Data |
| Citations: | 47 - 5 self |
BibTeX
@INPROCEEDINGS{Ghandeharizadeh92aperformance,
author = {Shahram Ghandeharizadeh and David J. DeWitt and Waheed Qureshi},
title = {A Performance Analysis of Alternative Multi-Attribute Declustering Strategies},
booktitle = {In Proc. ACM SIGMOD Int. Conf. on Management of Data},
year = {1992},
pages = {29--38}
}
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Abstract
During the past decade, parallel database systems have gained increased popularity due to their high performance, scalability and availability characteristics. With the predicted future database sizes and the complexity of queries, the scalability of these systems to hundreds and thousands of processors is essential for satisfying the projected demand. Several studies have repeatedly demonstrated that both the performance and scalability of a parallel database system is contingent on the physical layout of data across the processors of the system. If the data is not declustered properly, the execution of an operator might waste resources, reducing the overall processing capability of the system.
