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This paper shows a new approach to generate synthetic disk workload. The work presented here is based on previous results obtained from the analysis of disk real traces. The proposed disk workload generation model can capture the heavy-tailed behavior of real disk workload, a critical feature to reproduce disk subsystem congestion. The generator provides synthetic workload much more accurate than commonly used models. Since the workload plays a critical role in performance evaluations, having a more accurate disk workload generator is important for storage researchers in order to obtain fair and unbiased performance predictions.