Journal of Applied Probability · 2002 · 23 citations · 15 references
BusinessMathematicsProbability TheoryQueuing TheoryStochastic ProcessesArrival ProcessesPoisson ProcessesQueueing AnalysisQueueing ProcessesQueueing SystemsQueueing TheoryArrival Process AnalysisFeedbackFeedback DelayFinite-buffer Queueing SystemsHighway Traffic FlowPoisson ArrivalsQueueing ModelsStationary Arrival Processes
Consider a ·/G/ k finite-buffer queue with a stationary ergodic arrival process and delayed customer feedback, where customers after service may repeatedly return to the back of the queue after an independent general feedback delay whose distribution has a continuous density function. We use coupling methods to show that, under some mild conditions, the feedback flow of customers returning to the back of the queue converges to a Poisson process as the feedback delay distribution is scaled up. This allows for easy waiting-time approximations in the setting of Poisson arrivals, and also gives a new coupling proof of a classic highway traffic result of Breiman (1963). We also consider the case of nonindependent feedback delays.
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