Multi-infrastructure workflow execution for medical simulation in the Virtual Imaging Platform

Rafael Ferreira da Silva 1 Sorina Camarasu-Pop 2 Baptiste Grenier 3 Vanessa Hamar 4 David Manset 5 Johan Montagnat 6 Jérôme Revillard 5 Javier Rojas Balderrama 6 Andreï Tsaregorodtsev 4 Tristan Glatard 1
1 2 - Images et Modèles
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
2 Service Informatique et développements
CREATIS - Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé
6 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : This paper presents the architecture of the Virtual Imaging Platform sup- porting the execution of medical image simulation workflows on multiple comput- ing infrastructures. The system relies on the MOTEUR engine for workflow execu- tion and on the DIRAC pilot-job system for workload management. The jGASW code wrapper is extended to describe applications running on multiple infrastruc- tures and a DIRAC cluster agent that can securely involve personal cluster re- sources with no administrator intervention is proposed. Grid data management is complemented with local storage used as a failover in case of file transfer errors. Between November 2010 and April 2011 the platform was used by 10 users to run 484 workflow instances representing 10.8 CPU years. Tests show that a small per- sonal cluster can significantly contribute to a simulation running on EGI and that the improved data manager can decrease the job failure rate from 7.7% to 1.5%.
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Communication dans un congrès
HealthGrid 2011, Jun 2011, Bristol, United Kingdom. Proceedings of the 9th HealthGrid Conference, pp.1-10, 2011
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  • HAL Id : hal-00677827, version 1

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Rafael Ferreira da Silva, Sorina Camarasu-Pop, Baptiste Grenier, Vanessa Hamar, David Manset, et al.. Multi-infrastructure workflow execution for medical simulation in the Virtual Imaging Platform. HealthGrid 2011, Jun 2011, Bristol, United Kingdom. Proceedings of the 9th HealthGrid Conference, pp.1-10, 2011. 〈hal-00677827〉

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