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SCHEDULING WITH RELEASE TIMES AND DEADLINES ON A MINIMUM NUMBER OF MACHINES

机译:在最少数量的机器上安排发布时间和截止日期

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In this paper we study the SRDM problem motivated by a variety of practical applications. We are given n jobs with integer release times, deadlines, and processing times. The goal is to find a non-preemptive schedule such that all jobs meet their deadlines and the number of machines needed to process all jobs is minimum. If all jobs have equal release times and equal deadlines, SRDM is the classical bin packing problem, which is NP-complete. The slack of a job is the difference between its release time and the last possible time it may be started while still meeting its deadline. We show that instances consisting of jobs with slack at most one can be solved efficiently. We close the resulting gap by showing that the problem already becomes NP-complete if slacks up to 2 are allowed. Additionally, we consider several variants of the SRDM problem and provide exact and approximation algorithms.
机译:在本文中,我们研究了由各种实际应用引起的SRDM问题。我们为n个作业提供了整数发布时间,截止日期和处理时间。目标是找到一个非抢占式的时间表,以使所有作业都按时完成,并且处理所有作业所需的计算机数量最少。如果所有作业都具有相同的发布时间和相同的期限,则SRDM是经典的装箱问题,它是NP完全的。一项工作的懈怠是其发布时间与在可能仍满足其截止日期的情况下可以开始的最后可能时间之间的差。我们证明,由最多具有一个松弛工作的实例组成的实例可以有效地解决。通过显示如果允许最多2的松弛量,问题已经变为NP完全,可以弥补由此产生的差距。此外,我们考虑了SRDM问题的几种变体,并提供了精确算法和近似算法。

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