Network Optimization And Control


Network Optimization And Control
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Network Optimization And Control


Network Optimization And Control
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Author : Srinivas Shakkottai
language : en
Publisher: Now Publishers Inc
Release Date : 2008

Network Optimization And Control written by Srinivas Shakkottai and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Data transmission systems categories.


Network Optimization and Control is the ideal starting point for a mature reader with little background on the subject of congestion control to understand the basic concepts underlying network resource allocation.



Communication Networks


Communication Networks
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Author : R. Srikant
language : en
Publisher: Cambridge University Press
Release Date : 2014

Communication Networks written by R. Srikant and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computers categories.


A modern mathematical approach to the design of communication networks for graduate students, blending control, optimization, and stochastic network theories alongside a broad range of performance analysis tools. Practical applications are illustrated by making connections to network algorithms and protocols. End-of-chapter problems covering a range of difficulties support student learning.



Network Optimization Continuous And Discrete Models


Network Optimization Continuous And Discrete Models
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Author : Dimitri Bertsekas
language : en
Publisher: Athena Scientific
Release Date : 1998-01-01

Network Optimization Continuous And Discrete Models written by Dimitri Bertsekas and has been published by Athena Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-01-01 with Business & Economics categories.


An insightful, comprehensive, and up-to-date treatment of linear, nonlinear, and discrete/combinatorial network optimization problems, their applications, and their analytical and algorithmic methodology. It covers extensively theory, algorithms, and applications, and it aims to bridge the gap between linear and nonlinear network optimization on one hand, and integer/combinatorial network optimization on the other. It complements several of our books: Convex Optimization Theory (Athena Scientific, 2009), Convex Optimization Algorithms (Athena Scientific, 2015), Introduction to Linear Optimization (Athena Scientific, 1997), Nonlinear Programming (Athena Scientific, 1999), as well as our other book on the subject of network optimization Network Flows and Monotropic Optimization (Athena Scientific, 1998).



Network Optimization Methods In Passivity Based Cooperative Control


Network Optimization Methods In Passivity Based Cooperative Control
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Author : Miel Sharf
language : en
Publisher: Springer Nature
Release Date : 2021-05-24

Network Optimization Methods In Passivity Based Cooperative Control written by Miel Sharf and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-24 with Technology & Engineering categories.


This book establishes an important mathematical connection between cooperative control problems and network optimization problems. It shows that many cooperative control problems can in fact be understood, under certain passivity assumptions, using a pair of static network optimization problems. Merging notions from passivity theory and network optimization, it describes a novel network optimization approach that can be applied to the synthesis of controllers for diffusively-coupled networks of passive (or passivity-short) dynamical systems. It also introduces a data-based, model-free approach for the synthesis of network controllers for multi-agent systems with passivity-short agents. Further, the book describes a method for monitoring link faults in multi-agent systems using passivity theory and graph connectivity. It reports on some practical case studies describing the effectivity of the developed approaches in vehicle networks. All in all, this book offers an extensive source of information and novel methods in the emerging field of multi-agent cooperative control, paving the way to future developments of autonomous systems for various application domains



Stochastic Network Optimization With Application To Communication And Queueing Systems


Stochastic Network Optimization With Application To Communication And Queueing Systems
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Author : Michael J. Neely
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2010

Stochastic Network Optimization With Application To Communication And Queueing Systems written by Michael J. Neely and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Computers categories.


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 stochastic utility 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



Stochastic Network Optimization With Application To Communication And Queueing Systems


Stochastic Network Optimization With Application To Communication And Queueing Systems
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Author : Michael Neely
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Stochastic Network Optimization With Application To Communication And Queueing Systems written by Michael Neely and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


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 stochastic utility 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



Network Control And Optimization


Network Control And Optimization
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Author : Rudesindo Núñez-Queija
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-11-06

Network Control And Optimization written by Rudesindo Núñez-Queija and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-06 with Computers categories.


This book constitutes the refereed proceedings of the Third Euro-NF International Conference, NET-COOP 2009 held in Eindhoven, The Netherlands, in November 2009. The 18 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on performance analysis methods, wireless, queueing analysis, battery control, distributed control, and cooperation and competition.



Stochastic Network Optimization With Application To Communication And Queueing Systems


Stochastic Network Optimization With Application To Communication And Queueing Systems
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Author : George Kesidis
language : en
Publisher:
Release Date : 2010

Stochastic Network Optimization With Application To Communication And Queueing Systems written by George Kesidis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Artificial intelligence categories.


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 stochastic utility 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.



Optimization Of Computer Networks


Optimization Of Computer Networks
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Author : Pablo Pavón Mariño
language : en
Publisher: John Wiley & Sons
Release Date : 2016-03-28

Optimization Of Computer Networks written by Pablo Pavón Mariño and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-28 with Technology & Engineering categories.


This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).



Network Control And Optimization


Network Control And Optimization
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Author : Tijani Chahed
language : en
Publisher: Springer
Release Date : 2007-10-24

Network Control And Optimization written by Tijani Chahed and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-24 with Computers categories.


This book constitutes the refereed proceedings of the First Euro-FGI International Conference on Network Control and Optimization, NET-COOP 2007, held in Avignon, France in June 2007. The 22 revised full papers presented together with nine invited lectures address all current issues in network control and optimization, ranging from performance evaluation and optimization of general stochastic networks to more specific targets.