Online Batch Scheduling of Incompatible Job Families with Variable Lookahead Interval

Wenhua Li, Libo Wang, Hang Yuan
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Abstract

We consider online parallel-batch scheduling of [Formula: see text] incompatible unit-length job families with variable lookahead interval to minimize the maximum completion time, where [Formula: see text] is the number of job families which is known in advance. Incompatible job family means that a batch only contains the jobs from the same job family. At any time [Formula: see text], an online algorithm can foresee the information of the jobs arriving in the time interval [Formula: see text], where [Formula: see text] is variable. When the batch capacity [Formula: see text] and [Formula: see text], we provide a best possible online algorithm with competitive ratio [Formula: see text] for [Formula: see text] and [Formula: see text], where [Formula: see text] is a positive root of [Formula: see text]. When the batch capacity [Formula: see text] and [Formula: see text], we give an online algorithm with competitive ratio [Formula: see text] for [Formula: see text] and [Formula: see text], and prove that it is the best possible for [Formula: see text] and [Formula: see text].
可变前瞻间隔不兼容作业族的在线批调度
考虑[公式:见文]不兼容的单位长度作业族具有可变超前间隔的在线并行批调度,以最小化最大完成时间,其中[公式:见文]为事先已知的作业族数量。不兼容的作业族意味着一个批处理只包含来自相同作业族的作业。在任何时刻[公式:见文],在线算法都可以预测在[公式:见文]时间间隔内到达的作业信息,其中[公式:见文]是可变的。当批量容量[公式:见文]和[公式:见文]时,我们为[公式:见文]和[公式:见文]提供了一个具有竞争比[公式:见文]的最佳在线算法,其中[公式:见文]是[公式:见文]的正根。当批量容量[公式:见文]和[公式:见文]时,给出了[公式:见文]和[公式:见文]具有竞争比[公式:见文]的在线算法,并证明了它是[公式:见文]和[公式:见文]的最佳算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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