Abstract
We consider a retrial queueing system with batch arrival of customers. Unlike standard batch arrival, where a whole batch enters the system simultaneously, we assume that customers of a batch (session) arrive one by one in exponentially distributed time intervals. Service time is exponentially distributed. The batch arrival flow is MAP. The number of customers in a session is geometrically distributed. The number of sessions that can enter the system simultaneously is a control parameter. We analyze the joint probability distribution of the number of sessions and customers in the system using the techniques of multidimensional asymptotically quasi-Toeplitz Markov chains.
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Original Russian Text © S.A. Dudin, 2009, published in Problemy Peredachi Informatsii, 2009, Vol. 45, No. 3, pp. 85–97.
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Dudin, S.A. The MAP/M/N retrial queueing system with time-phased batch arrivals. Probl Inf Transm 45, 270–281 (2009). https://doi.org/10.1134/S0032946009030089
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DOI: https://doi.org/10.1134/S0032946009030089