Performance Models and Risk Management in Communications Systems [electronic resource] /
Gülpınar, Nalân.editor.
Harrison, Peter G.editor.
Rustem, Berc.editor.
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.
Description based upon print version of record.
Includes bibliographical references.
Preface -- Foreword -- Distributed and Robust Rate Control for Communication Networks Tansu Alpcan.- Of Threats and Costs: A Game-Theoretic Approach to Security Risk Management Patrick Maill´E, Peter Reichl, Bruno Tuffin.- Computationally Supported Quantitative Risk Management for Information Systems Denis Trček.- Cardinality Constrained Critical Node Detection Problem Ashwin Arulselvan, Clayton W. Commander, Oleg Shylo,  Panos M. Pardalos.- Reliability Based Routing Algorithms for Energy Aware Communication in Wireless Sensor Networks Janos Levendovszky, Andras Olah, Gergely Treplan, Long Tran-Thanh.- Opportunistic Scheduling with Deadline Constraints in Wireless Networks David I Shuman, Mingyan Liu.- A Hybrid Polyhedral Uncertainty Model for The Robust Network Loading Problem Aysegul Altin,  Hande Yaman,  Mustafa  C. Pinar.- Analytical Modelling Of IEEE 802.11e Enhanced Distributed Channel Access Protocol In Wireless Lans Jia Hu, Geyong Min, Mike E. Woodward, Weijia Jia.- Dynamic Overlay Single-Domain Contracting For End-To-End Contract Switching Murat Yuksel, Aparna Gupta, Koushik Kar.- Modelling a Grid Market Economy Fernando Martınez Ortuno, Uli Harder, Peter Harrison.
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.
Operations research.
Management science.
Computer system failures.
Electrical engineering.
Mathematical optimization.
Probabilities.
Decision making.
Operations Research, Management Science.
System Performance and Evaluation.
Communications Engineering, Networks.
Optimization.
Probability Theory and Stochastic Processes.
Operations Research/Decision Theory.
Springer optimization and its applications