Gaussian Approximation of Multi-channel Networks in Heavy Traffic

DOI10.1007/978-3-642-35980-4_14zbMath1274.90101OpenAlexW161343142MaRDI QIDQ5891293

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Publication date: 13 November 2013

Published in: Communications in Computer and Information Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-35980-4_14

zbMATH Keywords

Gaussian approximationheavy traffic regimemultichannel stochastic network

Mathematics Subject Classification ID

Stochastic network models in operations research (90B15) Queueing theory (aspects of probability theory) (60K25) Queues and service in operations research (90B22)

Related Items (7)

Statistical testing of the hypothesis that the number of customers in the \(GI/G/\infty\) queueing system has an asymptotically normal distribution in heavy traffic ⋮ On transient and stationary regimes for multi-channel networks with periodic inputs ⋮ A limit theorem for non-Markovian multi-channel networks under heavy traffic conditions ⋮ On Gaussian Approximation of Queueing Networks with Different Starting Load ⋮ Evaluation of steady state probabilities of the \(\bullet/\mathrm{G}/\infty\) queuing system for different input flow models ⋮ On asymptotic merging of nodes set for multichannel stochastic networks ⋮ Multi-channel queueing networks with interdependent input flows in heavy traffic

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