Performance Models and Risk Management in Communications Systems

  • Nalân Gülpınar
  • Peter Harrison
  • Berç Rüstem

Part of the Springer Optimization and Its Applications book series (SOIA, volume 46)

Table of contents

  1. Front Matter
    Pages i-x
  2. Patrick Maillé, Peter Reichl, Bruno Tuffin
    Pages 33-53
  3. Ashwin Arulselvan, Clayton W. Commander, Oleg Shylo, Panos M. Pardalos
    Pages 79-91
  4. Janos Levendovszky, Andras Olah, Gergely Treplan, Long Tran-Thanh
    Pages 93-126
  5. Ayşegül Altın, Hande Yaman, Mustafa Ç. Pınar
    Pages 157-172
  6. Murat Yüksel, Aparna Gupta, Koushik Kar
    Pages 191-223
  7. Fernando Martínez Ortuño, Uli Harder, Peter Harrison
    Pages 225-257

About this book


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.

Editors and affiliations

  • Nalân Gülpınar
    • 1
  • Peter Harrison
    • 2
  • Berç Rüstem
    • 3
  1. 1.The University of WarwickWarwick Business SchoolCoventryUnited Kingdom
  2. 2., Department of ComputingImperial College LondonLondonUnited Kingdom
  3. 3., Department of ComputingImperial College LondonLondonUnited Kingdom

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4419-0533-8
  • Online ISBN 978-1-4419-0534-5
  • Series Print ISSN 1931-6828
  • Series Online ISSN 1931-6836
  • Buy this book on publisher's site
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