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The stationary tail asymptotics in the \(GI/G/1\)-type queue with countably many background states. (English) Zbl 1136.60366
Summary: We consider the asymptotic behaviour of the stationary tail probabilities in the discrete-time \(GI/G/1\)-type queue with countable background state space. These probabilities are presented in matrix form with respect to the background state space, and shown to be the solution of a Markov renewal equation. Using this fact, we consider their decay rates. Applying the Markov renewal theorem, it is shown that certain reasonable conditions lead to the geometric decay of the tail probabilities as the level goes to infinity. We exemplify this result using a discrete-time priority queue with a single server and two types of customer.

MSC:
60K25 Queueing theory (aspects of probability theory)
60K15 Markov renewal processes, semi-Markov processes
68M20 Performance evaluation, queueing, and scheduling in the context of computer systems
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