Stochastic Networks : Theory and Applications

Zachary Ziedins Kelly

ISBN 10: 0198523998 / ISBN 13: 9780198523994

Edité par Oxford University Press (UK) Okt 1996, 1996

A propos de cet article

Neuware - 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.

N° de réf. du vendeur 9780198523994

Détails bibliographiques

• Titre: Stochastic Networks : Theory and Applications
• Éditeur: Oxford University Press (UK) Okt 1996
• Date de parution: 1996
• Langue: anglais
• ISBN à 10 chiffres: 0198523998
• ISBN à 13 chiffres: 9780198523994
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

The theory of stochastic networks is an important and rapidly developing research area, driven in part by important industrial applications in the design and control of modern communications and manufacturing networks. This volume is a collections of invited papers written by some of the leading researchers in this field, and provides a comprehensive survey of current research and the very latest developments. With contributions from most of the world's foremost researchers the areas covered include the mathematical modelling and the optimal control of queueing and loss networks, and the statistical modelling and analysis of network data. Also containing a comprehensive and up-to-date bibliography of the statistical literature on long-range dependence and self-similarity in network traffic and other scientific and engineering applications this book will suit researchers, research institutes and industry throughout the world.