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Analysis of Computer Networks de Fayez Gebali

Analysis of Computer Networks

Autor Fayez Gebali
en Limba Engleză Hardback – 14 apr 2015
This textbook presents the 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 book 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.
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Specificații

ISBN-13: 9783319156569
ISBN-10: 331915656X
Pagini: 616
Ilustrații: XXV, 589 p. 162 illus., 59 illus. in color.
Dimensiuni: 160 x 241 x 39 mm
Greutate: 1.08 kg
Ediția:2nd edition 2015
Editura: Springer
Locul publicării:Cham, Switzerland

Public țintă

Upper undergraduate

Cuprins

Probability.- Random Processes.- Markov Chains.- Markov Chains at Equilibrium.- Reducible Markov Chains.- Periodic Markov Chains.- Queuing Analysis.- Modeling Traffic Flow Control Protocols.- Modeling Error Control Protocols.- Modeling Medium Control Protocols.

Recenzii

“Readers looking for all of the classical modelsused to predict the behavior of computer networks may be interested in thisbook. Gebali presents the material, interesting for a teacher or a graduatestudent, in a single volume that can also be used by a specialist as arefresher on theory. … this book can be used as a good appendix to an academiccourse on network behavior modeling, to learn the fundamentals in a solid way.”(Piotr Cholda, Computing Reviews, October, 2015)

Notă biografică

Dr. Fayez Gebali is currently the Chair of the Electrical and Computer Engineering Department at the University of Victoria. Previously he has been the Associate Dean (undergraduate programs) at the Faculty of Engineering, University of Victoria. He is also a professor at the Electrical and Computer Engineering Department. Before that he was a Research Associate with Dr. M.I. Elmasry in the Department of Electrical Engineering at the University of Waterloo. He was also a Research Associate with Dr. K. Colbow in the Physics Department of Simon Fraser University.
Dr. Gebali’s research interests include parallel algorithms, hardware security and computer arithmetic. He has published over 200 articles in refereed journals and conferences in his areas of expertise.
Dr. Gebali received his B.Sc. in Electrical Engineering (first-class honours) from Cairo University, his B.Sc. (firstclass honours) in Applied Mathematics from Ain Shams University and his Ph.D. degree in Electrical Engineering from the University of British Columbia. Dr. Gebali is a life senior member of the IEEE, a member of the Society of Professional Engineers and Geoscientists of British Columbia and a member of the Egyptian Professional Engineers
of Egypt.

Textul de pe ultima copertă

This textbook presents the 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 book 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.
 
·         Provides techniques for modeling and analysis of network software and switching equipment;
·         Discusses design options used to build efficient switching equipment;
·         Includes many worked examples of the application of discrete-time Markov chains to communication systems;
·         Covers the mathematical theory and techniques necessary for analyzing telecommunication systems;
·         Discusses applications of Markov chains and queuing analysis to model over 15 communications protocols and hardware components.