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Abstract: : Parallel database systems aim at providing high throughput for OLTP transactions as well as short response times for complex and data-intensive queries. Shared nothing systems represent the major architecture for parallel database processing. While the performance of such systems has been extensively analyzed in the past, the corresponding studies have made a number of best-case assumptions. In particular, almost all performance studies on parallel query processing assumed single-user mode,... (Update)
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BibTeX entry: (Update)
@inproceedings{ marek93performance,
author = "Robert Marek and Erhard Rahm",
title = "On the Performance of Parallel Join Processing in Shared Nothing Database Systems",
booktitle = "Parallel Architectures and Languages Europe",
pages = "622-633",
year = "1993",
url = "citeseer.ist.psu.edu/marek93performance.html" }
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