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Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs
Berlin, Germany May 21-May 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2002.1017123Second IEEE International Symposium o ...
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This paper is concerned with the efficient execution of multiple query workloads on a cluster of SMPs. We target applications that access and manipulate large scientific datasets. Queries in these applications involve user-defined processing operations and distributed data structures to hold intermediate and final results. Our goal is to implement system components to leverage previously computed query results and to effectively utilize processing power and aggregated I/O bandwidth on SMP nodes so that both single queries and multi-query batches can be efficiently executed.
Citation:
Henrique Andrade, Tahsin Kurc, Alan Sussman, Joel Saltz, "Multiple Query Optimization for Data Analysis Applications on Clusters of SMPs," ccgrid, pp.154, Second IEEE International Symposium on Cluster Computing and the Grid (CCGRID'02), 2002
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