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Abstract: Exploiting parallelism is a key to building highperformance database systems. Several approaches to building database systems that support both inter- and intra-query parallelism have been proposed. These approaches can be broadly classified as either Shared Nothing (SN) or Shared Everything (SE). Although the SN approach is highly scalable, it requires complex data partitioning and tuning to achieve good performance whereas the SE approach suffers from non-scalability. We propose a scalable... (Update)
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...of complex heuristics to assign the fragments to processors. The reasons for the complexity of the strategy are discussed in detail in [11]. We propose a simple algorithm, the diagonal assignment strategy, for assigning fragments to processors that does not make use of any...
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BibTeX entry: (Update)
V. Gottemukkala, E. Omiecienski, and U. Ramachandran. A Scalable Sharing Architecture for a Parallel Database System. Technical Report GIT-CC93 -24, College of Computing, Georgia Institute of Technology, 1993. http://citeseer.ist.psu.edu/gottemukkala93scalable.html More
@inproceedings{ gottemukkalascalable,
author = "V. Gottemukkala and E. Omiecinski and U. Ramachandran",
title = "A Scalable Sharing Architecture for a Parallel Database System",
pages = "110--117",
url = "citeseer.ist.psu.edu/gottemukkala93scalable.html" }
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