Medical image processing workflow support on the EGEE grid with taverna

Ketan Maheshwari, Carole Goble, Paolo Missier, Johan Montagnat

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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. ©2009 IEEE.
    Original languageEnglish
    Title of host publicationProceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.
    PublisherIEEE
    ISBN (Print)9781424448784
    DOIs
    Publication statusPublished - 2009
    Event2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM
    Duration: 1 Jul 2009 → …

    Conference

    Conference2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
    CityAlbuquerque, NM
    Period1/07/09 → …

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