Performance Evaluation of Schedulers in a Probabilistic Setting

We show how to evaluate the performance of solutions to finite-horizon scheduling problems where task durations are specified by bounded uniform distributions. Our computational technique, based on computing the volumes of zones, constitutes a contribution to the computational study of scheduling under uncertainty and stochastic systems in general.

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