
doi: 10.1007/bf01060656
The open Jackson queueing network with \(r<\infty\) nodes, M/M/\(\infty\) (or G/M/\(\infty)\) with Poisson (or renewal) external input (with arrival rate \(\lambda_ i)\) in each node is considered. Let \(\| P_{ij}\|\) be the transition matrix, and \(\mu_ i/n\) be the service rate of one channel in the i-th node (n is the parameter of the series). Let \(X_ i^{(n)}(t)\) be the number of engaged channels at time moment t in i-th node, \[ \xi^{(i)}_ n(t)=n^{-1/2}(X_ i^{(n)}(nt)-\alpha_ in), \] where \(\alpha =(\alpha_ 1,...,\alpha_ r)\) is the solution of the equation \(\alpha \Theta =-\lambda \equiv (\lambda_ 1,...,\lambda_ r)\) \((\Theta =\| q_{ij}\|\), and \(q_{ij}=-\mu_ i\) for \(i=j\) and \(=\mu_ ip_{ij}\) for \(i\neq j).\) The convergence of the process \((\xi_ n^{(1)}(t),...,\xi_ n^{(r)}(t))\) to some diffusion process in the uniform topology (as \(n\to \infty)\) is proved.
Jackson queueing network, Applications of Markov renewal processes (reliability, queueing networks, etc.), diffusion approximation, Convergence of probability measures, Queueing theory (aspects of probability theory)
Jackson queueing network, Applications of Markov renewal processes (reliability, queueing networks, etc.), diffusion approximation, Convergence of probability measures, Queueing theory (aspects of probability theory)
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