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Theory of Probability and Mathematical Statistics



A limit theorem for non-Markovian multi-channel networks under heavy traffic conditions

H. V. Livinska

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Abstract: Open multi-channel stochastic networks are considered in the paper. The inputs are assumed to be non-homogeneous Poisson flows whose rates depend on time. Service times are random variables whose distribution functions are of the GI-type. A limit theorem for the service process is proved for such a network under heavy traffic conditions. Characteristics of the limit Gaussian process are expressed in an explicit form in terms of the network parameters.

Keywords: Multi-channel queueing networks, diffusion approximation, heavy traffic regime

Bibliography:
1. V. V. Anisimov and E. A. Lebedev, Stochastic Queueing Networks. Markov Models, ''Lybid'', Kiev, 1992. (Russian)
2. A. Yu. Veretennikov and O. M. Kulik, Diffusion approximation of systems with weakly ergodic Markov perturbations. I, Teor. Ĭmovir. Mat. Stat. 87 (2012), 12-27; English transl. in Theory Probab. Math. Statist. 87 (2013), 13-29.
3. Ĭ. I. Gihman and A. V. Skorohod, The Theory of Stochastic Processes, vol. 1, Nauka'', Moscow, 1971; English transl., Springer-Verlag, New York-Heidelberg, 1974.
4. E. A. Lebedev, A limit theorem for stochastic networks and its applications, Teor. Ĭmovir. Mat. Stat. 68 (2003), 81-92; English transl. in Theory Probab. Math. Statist. 68 (2004), 74-85.
5. A. V. Livinskaya and E. A. Lebedev, Limit theorem for multi-channel networks in heavy traffic, Kibernet. Sistem. Anal. (2012), no. 6, 106-113; English transl. in Cybernet. Systems Anal. 48 (2012), no. 6, 899-905.
6. G. V. Livins'ka, Approximation Gaussian process for networks of type [M_t|M|∞]^r and its properties, Visnyk Kyiv Univ. Cibernet. (2012), no. 12, 32-37. (Ukrainian)
7. V. V. Anisimov, Switching Processes in Queueing Models, ISTE, London; John Wiley & Sons, Inc., Hoboken, NJ, 2008.
8. E. Lebedev and G. Livinska, Gaussian approximation of multi-channel networks in heavy traffic, Comm. Comp. Information Sci. (2013), no. 356, 122-130.
9. H. V. Livinska and E. O. Lebedev, Conditions of Gaussian non-Markov approximation for multi-channel networks, Proc. 29th European Conf. Modelling and Simulation ECMS-2015, Albena (Varna), Bulgaria, 2015, pp. 642-649.