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Stochastic Network Optimization with Application to Communication and Queueing Systems (Synthesis Lectures on Learning, Networks, and Algorithms) - Softcover
- PublisherSpringer
- Publication date2010
- ISBN 10 3031799941
- ISBN 13 9783031799945
- BindingPaperback
- LanguageEnglish
- Edition number1
- Number of pages212
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Stochastic Network Optimization With Application to Communication and Queueing Systems
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Stochastic Network Optimization with Application to Communication and Queueing Systems (Synthesis Lectures on Learning, Networks, and Algorithms)
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Stochastic Network Optimization with Application to Communication and Queueing Systems (Synthesis Lectures on Learning, Networks, and Algorithms)
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Stochastic Network Optimization with Application to Communication and Queueing Systems
Published by
Springer International Publishing Sep 2010, 2010
ISBN 10: 3031799941
ISBN 13: 9783031799945
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future. Topics in the text include the following: - Queue stability theory - Backpressure, max-weight, and virtual queue methods - Primal-dual methods for non-convex stochasticutility maximization - Universal scheduling theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed examples and numerous problem set questions are provided to reinforce the main concepts. Table of Contents: Introduction / Introduction to Queues / Dynamic Scheduling Example / Optimizing Time Averages / Optimizing Functions of Time Averages / Approximate Scheduling / Optimization of Renewal Systems / Conclusions 212 pp. Englisch. Seller Inventory # 9783031799945
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Stochastic Network Optimization with Application to Communication and Queueing Systems (Synthesis Lectures on Learning, Networks, and Algorithms)
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Stochastic Network Optimization with Application to Communication and Queueing Systems
Published by
Springer International Publishing, 2010
ISBN 10: 3031799941
ISBN 13: 9783031799945
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Taschenbuch
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This text presents a modern theory of analysis, control, and optimization for dynamic networks. Mathematical techniques of Lyapunov drift and Lyapunov optimization are developed and shown to enable constrained optimization of time averages in general stochastic systems. The focus is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A simple drift-plus-penalty framework is used to optimize time averages such as throughput, throughput-utility, power, and distortion. Explicit performance-delay tradeoffs are provided to illustrate the cost of approaching optimality. This theory is also applicable to problems in operations research and economics, where energy-efficient and profit-maximizing decisions must be made without knowing the future. Topics in the text include the following: - Queue stability theory - Backpressure, max-weight, and virtual queue methods - Primal-dual methods for non-convex stochasticutility maximization - Universal scheduling theory for arbitrary sample paths - Approximate and randomized scheduling theory - Optimization of renewal systems and Markov decision systems Detailed examples and numerous problem set questions are provided to reinforce the main concepts. Table of Contents: Introduction / Introduction to Queues / Dynamic Scheduling Example / Optimizing Time Averages / Optimizing Functions of Time Averages / Approximate Scheduling / Optimization of Renewal Systems / Conclusions. Seller Inventory # 9783031799945
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Stochastic Network Optimization With Application to Communication and Queueing Systems
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Stochastic Network Optimization with Application to Communication and Queueing Systems
Published by
Springer International Publishing, 2010
ISBN 10: 3031799941
ISBN 13: 9783031799945
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Michael J. Neely received B.S. degrees in both Electrical Engineering and Mathematics from the University of Maryland, College Park, in 1997. He then received a 3 year Department of Defense NDSEG Fellowship for graduate study at the Massachusetts Institute . Seller Inventory # 608130065
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Stochastic Network Optimization With Application to Communication and Queueing Systems
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Stochastic Network Optimization With Application to Communication and Queueing Systems
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