Medical image processing workflow support on the EGEE grid with taverna

Ketan Maheshwari; Carole Goble; Paolo Missier; Johan Montagnat

doi:10.1109/CBMS.2009.5255332

Medical image processing workflow support on the EGEE grid with taverna

Ketan Maheshwari, Carole Goble, Paolo Missier, Johan Montagnat

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-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 language	English
Title of host publication	Proceedings - IEEE Symposium on Computer-Based Medical Systems\|Proc. IEEE Symp. Comput.-Based Med. Syst.
Publisher	IEEE
ISBN (Print)	9781424448784
DOIs	https://doi.org/10.1109/CBMS.2009.5255332
Publication status	Published - 2009
Event	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM Duration: 1 Jul 2009 → …

Conference

Conference	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
City	Albuquerque, NM
Period	1/07/09 → …

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10.1109/CBMS.2009.5255332

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@inproceedings{ebe9666347924e08a21da940ce8a62ca,

title = "Medical image processing workflow support on the EGEE grid with taverna",

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. {\textcopyright}2009 IEEE.",

author = "Ketan Maheshwari and Carole Goble and Paolo Missier and Johan Montagnat",

year = "2009",

doi = "10.1109/CBMS.2009.5255332",

language = "English",

isbn = "9781424448784",

booktitle = "Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.",

publisher = "IEEE",

address = "United States",

note = "2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 ; Conference date: 01-07-2009",

}

Maheshwari, K, Goble, C, Missier, P & Montagnat, J 2009, Medical image processing workflow support on the EGEE grid with taverna. in Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.. IEEE, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009, Albuquerque, NM, 1/07/09. https://doi.org/10.1109/CBMS.2009.5255332

TY - GEN

T1 - Medical image processing workflow support on the EGEE grid with taverna

AU - Maheshwari, Ketan

AU - Goble, Carole

AU - Missier, Paolo

AU - Montagnat, Johan

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

U2 - 10.1109/CBMS.2009.5255332

DO - 10.1109/CBMS.2009.5255332

M3 - Conference contribution

SN - 9781424448784

BT - Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.

PB - IEEE

T2 - 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009

Y2 - 1 July 2009

ER -

Medical image processing workflow support on the EGEE grid with taverna

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