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

Lucas Zamboulis; Nigel Martin; Alexandra Poulovassilis

doi:10.1016/j.future.2010.05.008

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

Lucas Zamboulis^*, Nigel Martin, Alexandra Poulovassilis

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1073-1091
Number of pages	19
Journal	Future Generation Computer Systems
Volume	26
Issue number	8
DOIs	https://doi.org/10.1016/j.future.2010.05.008
Publication status	Published - Oct 2010
Externally published	Yes

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

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