Due to the complexity caused by distributed computing and resource heterogeneity, the resource management and application scheduling in grid systems are complex. This paper proposes a flexible auction-based resource allocation strategy with a proportional share model for economic-based Grid systems. Instead of maximizing resource utility, this proposed strategy aims to complete jobs by meeting their deadline and budget requirements with the lowest resource costs. The experimental results show that the proposed strategy could complete jobs before the deadline with lower budgets.
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