A provisioning model and its comparison with best effort for performancecost optimization in grids (2007)
| Venue: | In proceedings of the Sixteenth IEEE International Symposium on High-Performance Distributed Computing (HPDC07 |
| Citations: | 15 - 2 self |
BibTeX
@INPROCEEDINGS{Singh07aprovisioning,
author = {Gurmeet Singh and Carl Kesselman and Ewa Deelman},
title = {A provisioning model and its comparison with best effort for performancecost optimization in grids},
booktitle = {In proceedings of the Sixteenth IEEE International Symposium on High-Performance Distributed Computing (HPDC07},
year = {2007},
pages = {117126},
publisher = {ACM Press}
}
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Abstract
The resource availability in Grids is generally unpredictable due to the autonomous and shared nature of the Grid resources and stochastic nature of the workload resulting in a best effort quality of service. The resource providers optimize for throughput and utilization whereas the users optimize for application performance. We present a cost-based model where the providers advertise resource availability to the user community. We also present a multi-objective genetic algorithm formulation for selecting the set of resources to be provisioned that optimizes the application performance while minimizing the resource costs. We use trace-based simulations to compare the application performance and cost using the provisioned and the best effort approach with a number of artificially generated workflow-structured applications and a seismic hazard application from the earthquake science community. The provisioned approach shows promising results when the resources are under high utilization and/or the applications have significant resource requirements.
