Scheduling workflow applications in GrADS
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| Chicago, IL, USA April 19-April 22 |
A. Mandal, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
A. Dasgupta, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
K. Kennedy, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
M. Mazina, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
C. Koelbel, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
G. Marin, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
K. Cooper, Dept. of Comput. Sci., Rice Univ., Houston, TX, USA
In this work, we describe new strategies for scheduling and executing workflow applications on Grid resources using the GrADS infrastructure. Workflow scheduling is based on heuristic scheduling strategies that use combined computational and memory hierarchy application component performance models. The workflow is executed using a novel strategy to bind and launch the application onto heterogeneous resources. We apply these strategies in the context of launching EMAN, a bio-imaging workflow application, onto the Grid.
Citation:
A. Mandal, A. Dasgupta, K. Kennedy, M. Mazina, C. Koelbel, G. Marin, K. Cooper, J. Mellor-Crummey, B. Liu, L. Johnsson, "Scheduling workflow applications in GrADS," ccgrid, pp.790-797, Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04), 2004
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