Analysis of Computer and Communication Networks provides the basic techniques for modeling and analyzing two of the fundamental components of high performance networks: switching equipment, and software employed at the end nodes and intermediate switches. The book also reviews the design options used to build efficient switching equipment. Topics covered include Markov chains and queuing analysis, traffic modeling, interconnection networks, and switch architectures and buffering strategies. This book covers the mathematical theory and techniques necessary for analyzing telecommunication systems. Queuing and Markov chain analyses are provided for many protocols currently in use. The book then discusses in detail applications of Markov chains and queuing analysis to model more than 15 communications protocols and hardware components.
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Editorial Reviews
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From the reviews: "Gebali … devotes the first half of this book to the relevant mathematics needed for the network analysis he covers in the second half. … Each of the 16 chapters concludes with an extensive problem set and a list of references. … the monograph will also be useful to practicing engineers. Summing Up: Recommended. Graduate students, researchers, faculty, and professionals." (E. M. Aupperle, Choice, Vol. 46 (6), February, 2009)
From the Back Cover
Analysis of Computer and Communication Networks presents the academic and research communities with mathematical theory and techniques necessary for analyzing and modeling high-performance global networks, such as the Internet. The three main building blocks of high-performance networks are links, switching equipment connecting the links together, and software employed at the end nodes and intermediate switches. This work provides the basic techniques for modeling and analyzing these last two components. Topics covered include, but are not limited to: Markov chains and queuing analysis, traffic modeling, interconnection networks and switch architectures and buffering strategies. The text also includes a novel and detailed description of Markov processes as well as an entire chapter dedicated to solving Markov chains in equilibrium, appendices are provided as a handy reference for material and formulas discussed in the book, a discussion on the use of MATLAB® in engineering applications and a brief introduction on the package since it is one of the more common mathematical packages used, over 550 homework problems. Analysis of Computer and Communication Networks is intended for senior and graduate students, university researchers and practicing engineers in communications, network design and analysis.
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Key Phrases - Statistically Improbable Phrases (SIPs):
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interconnection networks, scheduling algorithms, switch modeling, transient analysis, generalized processor sharing, equilibrium distribution vector, packet arrival probability, input queuing switch, average input traffic, output queuing switch, destination row address, packet arrival statistics, input traffic approaches, shared buffer switch, collided state, following state transition matrix, packet arrival probabilities, column substochastic, outgoing link capacity, access the desired output, distribution vector corresponding, chain transition diagram, probabilities queue size, bucket protocol, queuing switches Key Phrases - Capitalized Phrases (CAPs): (learn more)
Markov Chains, New York, Modeling Medium Access Control Protocols, Springer Science, Business Media, Modeling Traffic Flow Control Protocols, Modeling Network Traffic, New Jersey, Selected Areas, Repeat Problem, Performance Bounds, Continuous-Time Modeling, Using Little, Modeling Error Control Protocols, Poisson Traffic Description, Consider Example, Cambridge University Press, Prentice Hall, John Wiley, San Francisco, Discrete-Time Modeling, Repeat Example, Computer Society Press, Terms of Its Eigenvalues, Princeton University Press Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
interconnection networks, scheduling algorithms, switch modeling, transient analysis, generalized processor sharing, equilibrium distribution vector, packet arrival probability, input queuing switch, average input traffic, output queuing switch, destination row address, packet arrival statistics, input traffic approaches, shared buffer switch, collided state, following state transition matrix, packet arrival probabilities, column substochastic, outgoing link capacity, access the desired output, distribution vector corresponding, chain transition diagram, probabilities queue size, bucket protocol, queuing switches Key Phrases - Capitalized Phrases (CAPs): (learn more)
Markov Chains, New York, Modeling Medium Access Control Protocols, Springer Science, Business Media, Modeling Traffic Flow Control Protocols, Modeling Network Traffic, New Jersey, Selected Areas, Repeat Problem, Performance Bounds, Continuous-Time Modeling, Using Little, Modeling Error Control Protocols, Poisson Traffic Description, Consider Example, Cambridge University Press, Prentice Hall, John Wiley, San Francisco, Discrete-Time Modeling, Repeat Example, Computer Society Press, Terms of Its Eigenvalues, Princeton University Press Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
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