2019
DOI: 10.1016/j.dam.2018.03.007
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Schedules with a single preemption on uniform parallel machines

Abstract: For a scheduling problem to minimize the makespan on parallel machines, we consider schedules with at most one preemption. We show that in the case of two machines the problem is solvable in polynomial time. For m ≥ 3 uniform parallel machines, we measure the quality of a single preemption as the worst-case ratio of the makespan of an optimal schedule with at most one preemption over the makespan of an optimal preemptive schedule. We show that the global bound on such a ratio is 2 − 2/m.

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Cited by 10 publications
(15 citation statements)
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“…Soper and Strusevich (2018) prove that finding an optimal schedule with at most one preemption on two unrelated parallel machines is NP-hard. On the other hand, it is shown by Soper and Strusevich (2018) that on two uniform machines an optimal schedule with at most one preemption can be found in polynomial time; we reproduce the corresponding algorithm in Sect. 2.2.…”
Section: Introductionmentioning
confidence: 98%
See 4 more Smart Citations
“…Soper and Strusevich (2018) prove that finding an optimal schedule with at most one preemption on two unrelated parallel machines is NP-hard. On the other hand, it is shown by Soper and Strusevich (2018) that on two uniform machines an optimal schedule with at most one preemption can be found in polynomial time; we reproduce the corresponding algorithm in Sect. 2.2.…”
Section: Introductionmentioning
confidence: 98%
“…For m ≥ 3 uniform machines, the problem of finding an optimal schedule with the number of preemptions q such that q is even and q ≤ 2 (m − 3) is shown to be NP-hard by Shachnai et al (2005). Soper and Strusevich (2018) prove that finding an optimal schedule with at most one preemption on two unrelated parallel machines is NP-hard. On the other hand, it is shown by Soper and Strusevich (2018) that on two uniform machines an optimal schedule with at most one preemption can be found in polynomial time; we reproduce the corresponding algorithm in Sect.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations