Journal of Applied Probability · 1985 · 133 citations · 23 references
BusinessComputer ScienceMathematicsProbability TheoryQueuing TheoryStochastic ProcessesMarkov ChainsMarkov ProcessesQueueing ProcessesQueueing SystemsQueueing TheoryStochastic Service SystemsForward Recurrence TimeQueueing ModelsSample Path PropertiesServer Vacation ModelsStochastic Arrival ProcessesStochastic Service ProcessesVacation Queue ModelsVacation Queueing Models
In this note we prove some stochastic decomposition results for variations of the GI / G /1 queue. Our main model is a GI / G /1 queue in which the server, when it becomes idle, goes on a vacation for a random length of time. On return from vacation, if it finds customers waiting, then it starts serving the first customer in the queue. Otherwise it takes another vacation and so on. Under fairly general conditions the waiting time of an arbitrary customer, in steady state, is distributed as the sum of two independent random variables: one corresponding to the waiting time without vacations and the other to the stationary forward recurrence time of the vacation. This extends the decomposition result of Gelenbe and Iasnogorodski [5]. We use sample path arguments, which are also used to prove stochastic decomposition in a GI / G /1 queue with set-up time.
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Poisson Arrivals See Time Averages
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