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Analysis of Computer and Communication Networks

in detail applications of Markov chains and queuing analysis to model more than 15 communications protocols and hardware components.;

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Performance Modeling of Communication Networks with Markov Chains

This book is an introduction to Markov chain modeling with applications to communication networks. It begins with a general introduction to;

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Stochastic Modeling and Analysis of Telecom Networks

2: Continuous-time Modeling 6. Poisson Process. 7. Markov Process. 8. Systems with Delay. 9. Loss Systems. Part 3: Spatial Modeling;

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Queueing Networks and Markov Chains

needed to conduct performance and reliability evaluations of computer, communication, and manufacturing systems. Starting with basic probability;

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Communication And Computer Networks

This book presents a unified approach to developing accurate discrete-time models of communication and computer networks, using discrete;

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Probabilistic models for computer networks

performance analysis and modelling of modern computer networks and communication systems. With over one hundred examples and solved problems, the;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;

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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Markov Chains and Decision Processes for Engineers and Managers

Recognized as a powerful tool for dealing with uncertainty, Markov modeling can enhance your ability to analyze complex production and;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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Topics in the Constructive Theory of Countable Markov Chains

Markov chains are an important idea, related to random walks, which crops up widely in applied stochastic analysis. They are used, for;

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Markov Chains

This new edition of Markov Chains: Models, Algorithms and Applications has been completely reformatted as a text, complete with end;

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Markov Processes for Stochastic Modeling

This book presents an algebraic development of the theory of countable state space Markov chains with discrete- and continuous-time;

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Performance Modeling and Analysis of Communication Networks

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

engineering. The author uses Markov chains and other statistical tools to illustrate processes in reliability of computer systems and networks, fault;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Applied Discrete-Time Queues

Markov chains are included. This book covers single node systems, tandem system and queueing networks. It shows how queues with time-varying;

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Probability, Markov Chains, Queues, and Simulation

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that;

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Matrix-analytic Methods

Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability. They;

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Markov Processes and Applications

This well-written book provides a clear and accessible treatment of the theory of discrete and continuous-time Markov chains, with an;

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Stochastic Modeling in Physical and Biological Sciences

of Markov Chains. This book elaborates continuous time stochastic processes for modeling purpose explaining in detail with examples and includes an;

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Markov Chains

art of stochastic modeling, shows how to design computer implementations, and provides extensive worked examples with case studies. Markov;

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Channel Aggregation and Fragmentation for Traffic Flows

, computer simulations, and test-bed implementations. Its content includes the concept of CA and CF, the basic concept and calculation of Markov;

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Markov Chains And Dependability Theory

, Markov models, describing both basic results and specialised techniques. The authors first present both discrete and continuous time Markov;

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Introduction to the Numerical Solution of Markov Chains

detailed treatment of the numerical solution of Markov chains, William Stewart provides scientists on many levels with the power to put this theory;

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Performance Modeling, Stochastic Networks, and Statistical Multiplexing

This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim;

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