This book covers performance analysis of computer networks, and begins by providing the necessary background in probability theory, random variables, and stochastic processes. Queuing theory and simulation are introduced as the major tools analysts have access to. It presents performance analysis on local, metropolitan, and wide area networks, as well as on wireless networks. It concludes with a brief introduction to self-similarity. Designed for a one-semester course for senior-year undergraduates and graduate engineering students, it may also serve as a fingertip reference for engineers developing communication networks, managers involved in systems planning, and researchers and instructors of computer communication networks.
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Matthew N. O. Sadiku is a Professor at Prairie View A&M University. His awards include the McGraw-Hill/Jacob Millman Award for outstanding contributions in the field of electrical engineering (2000), and the Regents Professor Award from Texas A&M University (2012 2013). He is the author of numerous papers as well as over 50 books, and is a registered Professional Engineer and a Fellow of the IEEE.
Sarhan M. Musa holds a PhD in electrical engineering and is currently an associate professor in the engineering technology department at Prairie View A&M University, Texas.
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