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2009 22nd IEEE International Symposium on Computer-Based Medical Systems (2009)
Albuquerque, NM, USA
Aug. 2, 2009 to Aug. 5, 2009
ISBN: 978-1-4244-4879-1
pp: 1-7
Ketan Maheshwari , University of Nice ¿ Sophia Antipolis, CNRS-I3S Laboratory, 06903 Sophia Antipolis, France
Carole Goble , University of Manchester, School of Computer Science, Oxford rd, Manchester, M139PL, UK
Paolo Missier , University of Manchester, School of Computer Science, Oxford rd, Manchester, M139PL, UK
Johan Montagnat , University of Nice ¿ Sophia Antipolis, CNRS-I3S Laboratory, 06903 Sophia Antipolis, France
ABSTRACT
Resource-intensive and complex medical imaging applications can benefit from the use of scientific workflow technology for their design, rapid implementation and reuse, but at the same time they require a Grid computing infrastructure to execute efficiently. In this paper we describe a technical architecture that bridges the gap between the Taverna workflow management system and the EGEE grid infrastructure. This is achieved through a novel Taverna gLite activity plugin that makes the interface between the multi-threaded, centralized workflow enactor and the massively distributed, batch-oriented grid infrastructure. The plugin significantly increases the performance of Medical Imaging workflows over an equivalent plain Taverna workflow.
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CITATION

J. Montagnat, K. Maheshwari, C. Goble and P. Missier, "Medical image processing workflow support on the EGEE grid with taverna," 2009 22nd IEEE International Symposium on Computer-Based Medical Systems(CBMS), Albuquerque, NM, USA, 2009, pp. 1-7.
doi:10.1109/CBMS.2009.5255332
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