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An improved semi-online algorithm for scheduling on a single machine with unexpected breakdown

机译:一种改进的半球线算法,用于在具有意外故障的单台机器上调度

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We consider a semi-online scheduling problem on a single machine with an unexpected breakdown period. In the problem, each job has a processing time and a subsequent delivery time. All these data are known in the beginning. The scheduler has to determine a sequence S of these jobs for processing. After S is given, a machine unavailability period may occur where its starting time and length are not known in advance. The objective is to minimize the time by which all jobs are delivered. We present an online algorithm with a competitive ratio of 5+12 approximate to 1.618pprox 1.618$$end{document}, which improves the previously known algorithm with 2+22 approximate to 1.707$$rac{2+sqrt{2}}{2}pprox 1.707$$end{document}-competitive.
机译:我们考虑一个具有意外故障时段的单机上的半球合会调度问题。 在问题中,每个作业都有一个处理时间和后续交货时间。 所有这些数据在开始时都是已知的。 调度程序必须确定这些作业的序列s以进行处理。 在给出S之后,可能发生机器不可用时段,其中其开始时间和长度预先知道。 目标是最大限度地减少所有工作的交付时间。 我们呈现了一个竞争比率为5 + 12近似为1.618 约1.618 $$ end {document}的在线算法,这改善了以前已知的2 + 22近似的已知算法,近似为1.707 $$ frac {2+ sqrt { 2}} {2} 约1.707 $$$$$$ end {document} - 竞争力。

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