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Stochastic Network Optimization With Application to Communication and Queueing Systems

is on communication and queueing systems, including wireless networks with time-varying channels, mobility, and randomly arriving traffic. A;

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Queueing Theory and Network Applications

This book constitutes the proceedings of the 13th International Conference on Queueing Theory and Network Applications, QTNA 2018, held;

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Queueing Networks

Queueing networks are used in the performance evaluations and optimization of computer, communication, manufacturing, transportation and;

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Performance Modeling, Stochastic Networks, and Statistical Multiplexing

also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to;

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Resource Management and Performance Analysis of Wireless Communication Networks

, and green cloud computing. It assumes a basic understanding of computer networks and queueing theory, and familiarity with stochastic;

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Analytical and Stochastic Modeling Techniques and Applications

networks; wireless and mobile systems and networks; peer-to-peer application and services; embedded systems and sensor networks; workload modelling;

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Introduction to Queueing Systems with Telecommunication Applications

queueing network results and the rest of this part is devoted to the application examples. There are queueing models for bandwidth charing with;

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Introduction to Queueing Systems with Telecommunication Applications

queueing network results and the rest of this part is devoted to the application examples. There are queueing models for bandwidth charing with;

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Delayed and Network Queues

Presents an introduction to differential equations, probability, and stochastic processes with real-world applications of queues with delay;

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Stochastic Dynamic Programming And The Control Of Queueing Systems

Dynamic Programming and the Control of Queueing Systems presents the theory of optimization under the finite horizon, infinite horizon discounted;

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Comparison Methods for Stochastic Models and Risks

collect meaningful comparative data. Application areas include queueing systems, actuarial and financial risk, decision making and stochastic;

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Analysis of Queues

Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory;

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Analysis of Queues

Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory;

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An Introduction to Queueing Systems

of service to its customers. Our study of queueing was basically motivated by its use in the study of communication systems and computer networks;

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Stochastic Networks

shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background;

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Recent Advances In Stochastic Operations Research

Operations research uses quantitative models to analyze and predict the behavior of systems and to provide information for decision makers;

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Recent Advances In Stochastic Operations Research Ii

. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models;

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Nonlinear Stochastic Systems with Network-Induced Phenomena

with Network-Induced Phenomena establishes a unified framework of control and filtering which will be of value to academic researchers;

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Material Handling and Production Systems Modelling - based on Queuing Models

Queueing models were successfully applied for material handling and production systems. The book helps practitioners to understand the;

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Queueing Modelling Fundamentals

mathematical tools. It incorporates a rich set of worked examples on its applications to communication networks. Features include: Fully revised and;

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Matrix-analytic Methods

-structured Markov chains; (2) analysis of complex queueing models; and (3) parameter estimation and specific applications to such areas as cellular;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Distributed Optimization Advances in Theories Methods and Applications

alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization;

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Distributed Optimization Advances in Theories Methods and Applications

alike. Focusing on the natures and functions of agents, communication networks and algorithms in the context of distributed optimization;

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Institute of Mathematical Statistics Textbooks

shed light on important issues in the design and control of communication networks. It will appeal to readers with a mathematical background;

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Optimal Networked Control Systems with MATLAB

engineers, Optimal Networked Control Systems with MATLAB (R) instills a solid understanding of neural network controllers and how to build them.;

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Optimal Networked Control Systems With MATLAB

distributed NCS to minimize transmission of state and control signals within the feedback loop via the communication network Covers distributed joint;

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