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Rare-Event Simulation for Tandem Queues: A Simple and Efficient Importance Sampling Scheme

机译:串联队列的罕见事件模拟:一种简单有效的重要性抽样方案

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This paper focuses on estimating the rare event of overflow in the downstream queue of a Jacksonian two-node tandem queue, relying on importance sampling. It is known that in this setting traditional state-independent schemes perform poorly. More sophisticated state-dependent schemes yield asymptotic efficiency. Their drawback, however, is that they require a per-state computation of the new measure, so that it still consumes considerable machine time. The contribution of this paper is a scheme that combines asymptotic efficiency with low complexity. It retains the quality of the original state-dependent scheme, but its implementation is almost as simple as for state-independent analogues.

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