The theory of stochastic networks is an important and rapidly developing research area, driven in part by industrial applications in the design and control of modern communications and manufacturing networks. This volume is a collection of papers written by leading researchers in the field, providing a comprehensive survey of current research and the very latest developments. Areas covered include the mathematical modeling and optimal control of queuing and loss networks; the use of large deviations theory and effective bandwidth concepts in analysis and control; and the statistical modeling and analysis of network data. The book also contains a comprehensive bibliography of the statistical literature on long-range dependence and self-similarity in network traffic and other scientific and engineering applications, which will be welcomed by researchers in universities, research institutes and industry.
The theory of stochastic networks is an important and rapidly developing research area, driven in part by industrial applications in the design and control of modern communications and manufacturing networks. This volume is a collection of papers written by leading researchers in the field, providing a comprehensive survey of current research and the very latest developments. Areas covered include the mathematical modeling and optimal control of queuing and loss networks; the use of large deviations theory and effective bandwidth concepts in analysis and control; and the statistical modeling and analysis of network data. The book also contains a comprehensive bibliography of the statistical literature on long-range dependence and self-similarity in network traffic and other scientific and engineering applications, which will be welcomed by researchers in universities, research institutes and industry.
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