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Issue No. 09 - September (2009 vol. 20)
ISSN: 1045-9219
pp: 1273-1284
Young Choon Lee , The University of Sydney, Sydney
Riky Subrata , The University of Sydney, Sydney
Albert Y. Zomaya , The University of Sydney, Sydney
In attempts to exploit a diverse set of resources in grids efficiently, numerous assays in resource management, particularly scheduling, have been made. The primary objective of these efforts is the minimization of application completion time; however, they tend to achieve this objective at the expense of redundant resource usage. This paper investigates the problem of scheduling workflow applications on grids and presents a novel scheduling algorithm for the solution of this problem. Our algorithm performs the scheduling by accounting for both completion time and resource usage—dual objectives. Since the performance of grid resources changes dynamically and the accurate estimation of their performance is very difficult, our algorithm incorporates rescheduling to deal with unforeseen performance fluctuations effectively. The paper provides a comparative evaluation study conducted by using an extensive set of experiments. The study demonstrates that the proposed algorithm delivers promising performance in three respects: completion time, resource utilization, and robustness to resource-performance fluctuations.
Performance analysis and design aids, memory structures, hardware, simulation, distributed architectures, parallel architectures, processor architectures, computer systems organization, scheduling and task partitioning, measurement, evaluation, modeling, simulation of multiple-processor systems, performance of systems.

R. Subrata, A. Y. Zomaya and Y. C. Lee, "On the Performance of a Dual-Objective Optimization Model for Workflow Applications on Grid Platforms," in IEEE Transactions on Parallel & Distributed Systems, vol. 20, no. , pp. 1273-1284, 2008.
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