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

Full text not available from this repository.

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

Citation Data

Cited 8 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item