| | This Article | |
| |
| |
| | Share | |
| |
| |
| | Bibliographic References | |
| |
| |
| | Add to: | |
| |
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
| |
| | Search | |
| |
| |
| | |
Fourth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'04)
Scheduling workflow applications in GrADS
Chicago, IL, USA
April 19-April 22
ISBN: 0-7803-8430-X
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
Usage of this product signifies your acceptance of the
Terms of Use.
|
|
|
|
|
|
|
|