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/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

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 language	English
Title of host publication	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
DOIs	https://doi.org/10.1109/CBMS.2009.5255332
State	Published - 2009
Externally published	Yes
Event	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 - Albuquerque, NM, United States Duration: Aug 2 2009 → Aug 5 2009

Publication series

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

Conference

Conference	2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009
Country/Territory	United States
City	Albuquerque, NM
Period	08/2/09 → 08/5/09

Funding

Funders	Funder number
Engineering and Physical Sciences Research Council	EP/D044324/1, EP/G026238/1

Access to Document

10.1109/CBMS.2009.5255332

Cite this

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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.",

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

year = "2009",

doi = "10.1109/CBMS.2009.5255332",

language = "English",

isbn = "9781424448784",

series = "Proceedings - IEEE Symposium on Computer-Based Medical Systems",

booktitle = "2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009",

note = "2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009 ; Conference date: 02-08-2009 Through 05-08-2009",

}

Maheshwari, K, Goble, C, Missier, P & Montagnat, J 2009, Medical image processing workflow support on the EGEE grid with taverna. in 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009., 5255332, Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009, Albuquerque, NM, United States, 08/2/09. https://doi.org/10.1109/CBMS.2009.5255332

Medical image processing workflow support on the EGEE grid with taverna. / Maheshwari, Ketan; Goble, Carole; Missier, Paolo et al.
2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009. 2009. 5255332 (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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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.

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Y2 - 2 August 2009 through 5 August 2009

ER -

Medical image processing workflow support on the EGEE grid with taverna

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