Medical image processing workflow support on the EGEE grid with taverna

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.

• Type: Conference
• Year: 2009
• Where: CBMS
• Authors: Ketan Maheshwari, Carole A. Goble, Paolo Missier, Johan Montagnat
• Keywords: CBMS 2009, Grid Infrastructure, Medical Imaging, Taverna Workflow, Taverna Workflow Management