Active Proxy-G: optimizing the query execution process in the grid
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
Applying Database Support for Large Scale Data Driven Science in Distributed Environments
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Optimizing the Execution of Multiple Data Analysis Queries on Parallel and Distributed Environments
IEEE Transactions on Parallel and Distributed Systems
A framework to support multiple query optimization for complex mining tasks
MDM '05 Proceedings of the 6th international workshop on Multimedia data mining: mining integrated media and complex data
Multiple query scheduling for distributed semantic caches
Journal of Parallel and Distributed Computing
Distributed and Parallel Databases
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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 singlequeries and multi-query batches can be efficiently executed.