Performance Models and Risk Management in Communications Systems (Springer Optimization and Its Applications) by G�lpinar, Nal�n (Editor) / Harrison, Peter G. (Editor) / Rustem, Berc (Editor): Brand New Paperback (2012)

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268 pages. 9.25x6.10x0.61 inches. In Stock.

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Bibliographic Details

Title: Performance Models and Risk Management in Communications Systems (Springer Optimization and Its Applications)
Publisher: Springer-Verlag New York Inc.
Publication Date: 2012
Language: English
ISBN 10: 1461427339
ISBN 13: 9781461427339
Binding: Paperback
Condition: Brand New

About this title

Synopsis

This volume covers recent developments in the design, operation, and management of telecommunication and computer network systems in performance engineering and addresses issues of uncertainty, robustness, and risk. Uncertainty regarding loading and system parameters leads to challenging optimization and robustness issues. Stochastic modeling combined with optimization theory ensures the optimum end-to-end performance of telecommunication or computer network systems. In view of the diverse design options possible, supporting models have many adjustable parameters and choosing the best set for a particular performance objective is delicate and time-consuming. An optimization based approach determines the optimal possible allocation for these parameters. Researchers and graduate students working at the interface of telecommunications and operations research will benefit from this book. Due to the practical approach, this book will also serve as a reference tool for scientists and engineers in telecommunication and computer networks who depend upon optimization.

From the Back Cover

This volume covers recent developments in the design, operation, and management of telecommunication and computer network systems in performance engineering and addresses issues of uncertainty, robustness, and risk. Uncertainty regarding loading and system parameters leads to challenging optimization and robustness issues. Stochastic modeling combined with optimization theory ensures the optimum end-to-end performance of telecommunication or computer network systems. In view of the diverse design options possible, supporting models have many adjustable parameters and choosing the best set for a particular performance objective is delicate and time-consuming. An optimization based approach determines the optimal possible allocation for these parameters. Researchers and graduate students working at the interface of telecommunications and operations research will benefit from this book. Due to the practical approach, this book will also serve as a reference tool for scientists and engineers in telecommunication and computer networks who depend upon optimization.

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