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We consider parallel‐machine scheduling with a common server and job preemption to minimize the makespan. While the non‐preemptive version of the problem is strongly NP‐hard, the complexity status of the preemptive version has remained open. We show that the preemptive version is NP‐hard even if there is a fixed number of machines. We give a pseudo‐polynomial time algorithm to solve the case with...
We study the problem of preemptive scheduling of n} jobs with given release times on m identical parallel machines. The objective is to minimize the average flow time. In this paper, show that when all jobs have equal processing times then the problem can be solved in polynomial time using linear programming. Our algorithm can also be applied to the open-shop problem with release times and unit processing...
We prove that the problem P ∣ pi = p, pmtn ∣ ∑wiUi is unary NP-hard although the corresponding nonpreemptive problem can be solved in O(n log n) time, where n is the number of jobs. This contrasts the fact that usually preemptive problems are not harder than their nonpreemptive counterparts.
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