Optimization of SQL queries for parallel machines
Optimization of SQL queries for parallel machines
An overview of query optimization in relational systems
PODS '98 Proceedings of the seventeenth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems
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Optimization of Parallel Query Execution Plans in XPRS
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SSDBM '08 Proceedings of the 20th international conference on Scientific and Statistical Database Management
Flow Algorithms for Parallel Query Optimization
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
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Increasingly, biological data is being shared over the deep web. Many biological queries can only be answered by successively searching a number of distinct web-sites. This paper introduces a system that exploits parallelization for accelerating search over multiple deep web data sources. An interactive, two-stage multi-threading system is developed to achieve task parallelization, thread parallelization, and pipelined parallelization. We show the effectiveness of our system by considering a number of queries involving SNP datasets. We show that most of the queries can be accelerated significantly by exploiting these three forms of parallelism.