e-book Large Deviations for Gaussian Queues: Modelling Communication Networks

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Large Deviations for Gaussian Queues demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications networks.

Coverage includes:. Large Deviations for Gaussian Queues assumes minimal prior knowledge. It is ideally suited for postgraduate students in applied probability, operations research, computer science and electrical engineering. The book's self-contained style makes it perfect for practitioners in the communications networking industry and for researchers in related areas. Review "The book maybe useful for specialists connected with queuing theory and working in applied probability. Markov Processes and Related Fields , 5 1 , Branching processes in the analysis of the heights of trees.

Acta Inform.

Lecture 25 Queuing Network Models by MIT OCW

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A Nonstationary Offered-Load Model for Packet Networks

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Michel Mandjes - Citations Google Scholar

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Rate control for communication networks: shadow prices, proportional fairness and stability. Journal of the Operational Research Society , 49 3 , Reversibility and Stochastic Networks. The Clifford Paterson lecture, modelling communication networks, present and future. A , , Differential qos and pricing in networks: Where flow control meets game theory.

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Hebdogiciel 21, May Manuel d'utilisation de BigNet 2. On allocation of bandwidth in cable access networks. In preparation, Exact formula for sensitivity analysis of Markov chains. Computer Performance Modelling Handbook. Academic Press, Lavrentiev and B.


Une bibliographie sur les réseaux et files d'attente

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