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Performance-based workload management for grid computing
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Spooner, Daniel P., Jarvis, Stephen A., Cao, J., Nudd, G. R., Saini, S. and Kerbyson, D. J. (2002) Performance-based workload management for grid computing. In: Proceedings of the Los Alamos Computer Science Institute Symposium (LACSI'02), Santa Fe, New Mexico, USA
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Abstract
Imbalanced workload-distribution can significantly degrade performance of grid computing environments. In the past, the theory of divisible load has been widely investigated in static heterogeneous systems. However, it has not been widely applied to grid environments, which are characterized by heterogeneous resources and dynamic environments. In this paper, we propose a performance-based approach to workload distribution for master-slave types of applications on grids. Furthermore, applications with irregular workloads are addressed. We implemented three kinds of applications and conducted experimentations on our grid test-beds. Experimental results show that this approach performs more efficiently than conventional schemes. Consequently, we claim that dynamic workload distribution can benefit applications on grid environments.
Item Type: | Conference Item (Paper) |
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software |
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science |
Official Date: | October 2002 |
Status: | Peer Reviewed |
Publication Status: | Published |
Conference Paper Type: | Paper |
Title of Event: | Proceedings of the Los Alamos Computer Science Institute Symposium (LACSI'02) |
Type of Event: | Conference |
Location of Event: | Santa Fe, New Mexico, USA |
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