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Interval scheduling on related machines

机译:相关机器上的间隔调度

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We consider the problem of scheduling n intervals (jobs with fixed starting times) on m machines with different speeds with the objective to maximize the number of accepted intervals. We prove that the offline version of the problem is strongly NP-hard to solve. For the online version, we show a lower bound off on the competitive ratio of any deterministic online algorithm for the problem. Moreover, we present two simple greedy rules for online algorithms and show that any online algorithm using these rules is 2-competitive. One of these 2-competitive algorithms is shown to run in O(n logm) time. Additionally, we prove that our greedy rules impose no loss in the sense that every online algorithm for the problem can be modified to use the rules without reducing the number of accepted intervals on any instance.
机译:我们考虑在具有不同速度的m台机器上调度n个间隔(具有固定启动时间的作业)的问题,目的是最大化可接受间隔的数量。我们证明该问题的脱机版本非常难解决。对于在线版本,我们展示了该问题的任何确定性在线算法的竞争率下限。此外,我们为在线算法提出了两个简单的贪婪规则,并表明使用这些规则的任何在线算法都是2竞争的。这些2竞争算法之一显示为运行时间为O(n logm)。此外,我们证明了贪婪的规则并没有造成任何损失,因为可以在不减少任何情况下减少可接受间隔的数量的情况下,修改每个在线问题算法以使用这些规则。

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