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International Journal of High Performance Computing Applications
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Flexible and Efficient Workflow Deployment of Data-Intensive Applications On Grids With MOTEUR

Tristan Glatard

CNRS, I3S UNIT, RAINBOW TEAM, 930 ROUTE DES COLLES, BP 145 06903 SOPHIA ANTIPOLIS CEDEX, FRANCE, GLATARD{at}I3S.UNICE.FR, INRIA SOPHIA-ANTIPOLIS, ASCLEPIOS TEAM, 2004 ROUTE DES LUCIOLES BP 93 06902 SOPHIA ANTIPOLIS CEDEX, FRANCE

Johan Montagnat

CNRS, I3S UNIT, RAINBOW TEAM, 930 ROUTE DES COLLES, BP 145 06903 SOPHIA ANTIPOLIS CEDEX, FRANCE

Diane Lingrand

CNRS, I3S UNIT, RAINBOW TEAM, 930 ROUTE DES COLLES, BP 145 06903 SOPHIA ANTIPOLIS CEDEX, FRANCE

Xavier Pennec

INRIA SOPHIA-ANTIPOLIS, ASCLEPIOS TEAM, 2004 ROUTE DES LUCIOLES BP 93 06902 SOPHIA ANTIPOLIS CEDEX, FRANCE

Workflows offer a powerful way to describe and deploy applications on grid infrastructures. Many workflow management systems have been proposed but there is still a lack of a system that would allow both a simple description of the dataflow of the application and an efficient execution on a grid platform. In this paper, we study the requirements of such a system, underlining the need for well-defined data composition strategies on the one hand and for a fully parallel execution on the other. As combining those features is not straightforward, we then propose algorithms to do so and we describe the design and implementation of MOTEUR, a workflow engine that fulfills those requirements. Performance results and overhead quantification are shown to evaluate MOTEUR with respect to existing comparable workflow systems on a production grid.

Key Words: workflows • services • data composition operators • grids

International Journal of High Performance Computing Applications, Vol. 22, No. 3, 347-360 (2008)
DOI: 10.1177/1094342008096067
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