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OGSA-DAI and bioinformatics grids: challenges, experience and strategies

Crompton, S.Y., Matthews, B. M., Gray, William Alexander, Jones, Andrew Clifford, White, Richard John and Pahwa, Jaspreet Singh 2006. OGSA-DAI and bioinformatics grids: challenges, experience and strategies. Presented at: Sixth International Symposium on Cluster Computing and the Grid : CCGrid 06, Singapore, 16-19 May 2006. Published in: Turner, Stephen John, Lee, Bu Sung and Cai, Wientong eds. Sixth International Symposium on Cluster Computing and the Grid : CCGrid 06 (Proceedings). , vol.2 Los Alamitos, CA: IEEE, pp. 192-200. 10.1109/CCGRID.2006.75

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Abstract

OGSA-DAI is an open-source middleware designed to facilitate the access and integration of distributed heterogeneous data resources. It provides a ready-made framework that promotes locality and product transparency to connect data resources to the grid environment. This paper reports on the evaluation of OGSA-DAI for bioinformatics grid applications by the BioDA project. We based our study on dialogue with OGSA-DAI and grid project developers as well as through practical case studies involving current projects. We also reveal the challenges and strategies in developing an OGSA-DAI exemplar for one of these projects, BiodiversityWorld - a grid-based problem solving environment that specializes in the exploration and analysis of patterns in global biodiversity. Finally, we summarize the key issues for projects considering adopting OGSA-DAI.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: BiodiversityWorld , OGSA-DAI , bioinformatics grid applications , bioinformatics grids , distributed heterogeneous data resources , global biodiversity , grid environment , grid-based problem solving environment , open-source middleware
Publisher: IEEE
ISBN: 9780769525853
Last Modified: 10 Sep 2022 08:16
URI: https://orca.cardiff.ac.uk/id/eprint/45404

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