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An infinite stream of independent jobs composed of sets of dependent tasks, which are being fed into a uniprocessor computer system with nonpreemptible resources is considered. A joint approach is presented, to optimization of a given system performance measure, namely mean flow time of jobs, and the solution of the system performance failure problems, namely the determinacy of the set of tasks, deadlock and permanent blocking. For deadlock avoidance the approach is applied which radically reduces overhead involved without losing the benefit of improved resource utilization.

Scheduling dependent tasks from an infinite stream in systems with nonpreemptible resources