On asymptotic merging of nodes set for multichannel stochastic networks

DOI10.1016/j.cam.2021.113535zbMath1473.90051OpenAlexW3133930194MaRDI QIDQ2020587

Yanyan Li

Publication date: 23 April 2021

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2021.113535

zbMATH Keywords

Gaussian approximationasymptotic mergingheavy traffic regimemultichannel queueing networks

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)

Cites Work

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• Gaussian and diffusion limits for multi-channel stochastic networks
• The theory of stochastic processes. I. Translated from the Russian by S. Kotz.
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• Multichannel stochastic networks under critical load conditions
• A limit theorem for non-Markovian multi-channel networks under heavy traffic conditions
• On the asymptotic merging of the set of nodes in stochastic networks
• Switching Processes in Queueing Models
• On Gaussian Approximation of Queueing Networks with Different Starting Load
• Diffusion Approximation with Equilibrium for Evolutionary Systems Switched by Semi-Markov Processes
• Gaussian Approximation of Multi-channel Networks in Heavy Traffic

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