Abstract
We discuss here two topics of recent interest in queueing theory. The first is the question of when strictly subcritical queueing networks are stable. Namely, given a network whose stations all serve customers more quickly than the long-term rate at which customers visit the system, when is the underlying Markov process positive recurrent? The other topic is the existence of heavy traffic limits for queueing networks. That is, when does a sequence of networks, under diffusive scaling, converge to a reflecting Brownian motion?
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Bramson, M. (1999). Stability and Heavy Traffic Limits for Queueing Networks. In: Bramson, M., Durrett, R. (eds) Perplexing Problems in Probability. Progress in Probability, vol 44. Birkhäuser Boston. https://doi.org/10.1007/978-1-4612-2168-5_14
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DOI: https://doi.org/10.1007/978-1-4612-2168-5_14
Publisher Name: Birkhäuser Boston
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