Medical image processing workflow support on the EGEE grid with taverna

  • Ketan Maheshwari*
  • , Carole Goble
  • , Paolo Missier
  • , Johan Montagnat
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
DOIs
Publication statusPublished - 2009
Event2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States
Duration: 2 Aug 20095 Aug 2009

Publication series

NameProceedings - IEEE Symposium on Computer-Based Medical Systems
ISSN (Print)1063-7125

Conference

Conference2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
Country/TerritoryUnited States
CityAlbuquerque, NM
Period2/08/095/08/09

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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