Ebook: Performance Models and Risk Management in Communications Systems
- Tags: Operations Research Management Science, System Performance and Evaluation, Communications Engineering Networks, Optimization, Probability Theory and Stochastic Processes, Operation Research/Decision Theory
- Series: Springer Optimization and Its Applications 46
- Year: 2011
- Publisher: Springer-Verlag New York
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages i-x
Distributed and Robust Rate Control for Communication Networks....Pages 1-32
Of Threats and Costs: A Game-Theoretic Approach to Security Risk Management....Pages 33-53
Computationally Supported Quantitative Risk Management for Information Systems....Pages 55-77
Cardinality-Constrained Critical Node Detection Problem....Pages 79-91
Reliability-Based Routing Algorithms for Energy-Aware Communication in Wireless Sensor Networks....Pages 93-126
Opportunistic Scheduling with Deadline Constraints in Wireless Networks....Pages 127-155
A Hybrid Polyhedral Uncertainty Model for the Robust Network Loading Problem....Pages 157-172
Analytical Modelling of IEEE 802.11e Enhanced Distributed Channel Access Protocol in Wireless LANs....Pages 173-190
Dynamic Overlay Single-Domain Contracting for End-to-End Contract Switching....Pages 191-223
Modelling a Grid Market Economy....Pages 225-257
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.
Content:
Front Matter....Pages i-x
Distributed and Robust Rate Control for Communication Networks....Pages 1-32
Of Threats and Costs: A Game-Theoretic Approach to Security Risk Management....Pages 33-53
Computationally Supported Quantitative Risk Management for Information Systems....Pages 55-77
Cardinality-Constrained Critical Node Detection Problem....Pages 79-91
Reliability-Based Routing Algorithms for Energy-Aware Communication in Wireless Sensor Networks....Pages 93-126
Opportunistic Scheduling with Deadline Constraints in Wireless Networks....Pages 127-155
A Hybrid Polyhedral Uncertainty Model for the Robust Network Loading Problem....Pages 157-172
Analytical Modelling of IEEE 802.11e Enhanced Distributed Channel Access Protocol in Wireless LANs....Pages 173-190
Dynamic Overlay Single-Domain Contracting for End-to-End Contract Switching....Pages 191-223
Modelling a Grid Market Economy....Pages 225-257
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