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Queues as Harris recurrent Markov chains

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Abstract

We present a framework for representing a queue at arrival epochs as a Harris recurrent Markov chain (HRMC). The input to the queue is a marked point process governed by a HRMC and the queue dynamics are formulated by a general recursion. Such inputs include the cases of i.i.d, regenerative, Markov modulated, Markov renewal and the output from some queues as well. Since a HRMC is regenerative, the queue inherits the regenerative structure. As examples, we consider split & match, tandem, G/G/c and more general skip forward networks. In the case of i.i.d. input, we show the existence of regeneration points for a Jackson type open network having general service and interarrivai time distributions.

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A revised version of the author's winning paper of the 1986 George E. Nicholson Prize (awarded by the Operations Research Society of America).

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Sigman, K. Queues as Harris recurrent Markov chains. Queueing Syst 3, 179–198 (1988). https://doi.org/10.1007/BF01189048

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  • DOI: https://doi.org/10.1007/BF01189048

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