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Grid is susceptible to a number of software and hardware failures, so a deep understanding of and modeling the grid resource failures are a challenge and have significant influence on grid researching. However, due to various reasons such as commercial secret and security, it is difficult to obtain real historical logs of grids. Therefore, an accurate model of resource failures is critically useful. In the paper, through analyzing the grid log data, we detail the suitability of three potential statistical distributions for each data set: Weibull, Zipf's law and Pareto. Then, this paper develops a grid resource failure simulator. Finally, with the different failure patterns generated by the failure simulator, the paper evaluates several common scheduling algorithms used in grid systems.