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Optimal scheduling of tasks when service is subject to disruption: the preempt-repeat case

机译:服务中断时的最佳任务调度:抢先重复情况

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摘要

It has long been recognised that situations in which some key resource or service is to be allocated among jobs or customers competing for it are often subject to a range of uncertainties. Key amongst these concern the reliability of service itself. When the service being delivered to a job is disrupted by some failure of the service mechanism, it is reasonable to suppose that effort may subsequently be required to restore that job to its position before the breakdown occurred. We develop optimal index policies for service allocation for a range of semi-Markovian models which capture this key feature in a range of ways.
机译:早就认识到,要在竞争的工作或客户中分配一些关键资源或服务的情况通常会带来一系列不确定性。其中最关键的是服务本身的可靠性。当由于某种服务机制的故障而使交付给作业的服务中断时,可以合理地假设随后可能需要付出一定的努力才能将该作业恢复到发生故障之前的位置。我们为一系列半马尔可夫模型开发了用于服务分配的最佳索引策略,这些模型以多种方式捕获了此关键功能。

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