Scheduling strategies for mapping application workflows onto the grid

In this work, we describe new strategies for scheduling and executing workflow applications on grid resources using the GrADS [Ken Kennedy et al., 2002] infrastructure. Workflow scheduling is based on heuristic scheduling strategies that use application component performance models. The workflow is...

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Vydáno v:2005 14th IEEE International Symposium on High Performance Distributed Computing s. 125 - 134
Hlavní autoři: Anirban Mandal, Kennedy, K., Koelbel, C., Marin, G., Mellor-Crummey, J., Liu, B., Johnsson, L.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 2005
Témata:
Image processing
Monitoring
Resource management
Throughput
ISBN:9780780390379, 0780390377
ISSN:1082-8907
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Abstract In this work, we describe new strategies for scheduling and executing workflow applications on grid resources using the GrADS [Ken Kennedy et al., 2002] infrastructure. Workflow scheduling is based on heuristic scheduling strategies that use 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 executing EMAN, a bio-imaging workflow application, on the grid. The results of our experiments show that our strategy of performance model based, in-advance heuristic workflow scheduling results in 1.5 to 2.2 times better makespan than other existing scheduling strategies. This strategy also achieves optimal load balance across the different grid sites for this application.
AbstractList In this work, we describe new strategies for scheduling and executing workflow applications on grid resources using the GrADS [Ken Kennedy et al., 2002] infrastructure. Workflow scheduling is based on heuristic scheduling strategies that use 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 executing EMAN, a bio-imaging workflow application, on the grid. The results of our experiments show that our strategy of performance model based, in-advance heuristic workflow scheduling results in 1.5 to 2.2 times better makespan than other existing scheduling strategies. This strategy also achieves optimal load balance across the different grid sites for this application.
Author Mellor-Crummey, J.
Johnsson, L.
Marin, G.
Liu, B.
Koelbel, C.
Anirban Mandal
Kennedy, K.
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Snippet In this work, we describe new strategies for scheduling and executing workflow applications on grid resources using the GrADS [Ken Kennedy et al., 2002]...
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StartPage 125
SubjectTerms Image processing
Monitoring
Resource management
Throughput
Title Scheduling strategies for mapping application workflows onto the grid
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