Analysis of Computer Networks (2^nd Ed., Softcover reprint of the original 2nd ed. 2015)

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.- Modleing IEEE 802.11 (Wifi) Protocol.- Modeling IEEE 802.16 (WiMAZ) Protocol.- Modeling of Wireless Fading Channels.- Software Defined radio (SDR).- Modeling Network Traffic.- Scheduling Algorithms.

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.

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