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Query performance evaluation of an architecture for fine-grained integration of heterogeneous grid data sources

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  • Computer Science And Informatics


Grid data sources may have schema- and data-level conflicts that need to be addressed using data transformation and integration technologies not supported by the current generation of Grid data access and querying middleware. We present an architecture that combines Grid data access and distributed querying with fine-grained data transformation/integration technologies, and the results of a query performance evaluation on this architecture. The performance evaluation indicates that it is indeed feasible to combine such technologies while achieving acceptable query performance. We also discuss the significance of our results for the further development of query performance over heterogeneous Grid data sources.

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