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.
Presents performance analysis on local, metropolitan, and wide area networks, as well as wireless networks Provides engineering designers the freedom and flexibility to adjust various parameters of the computer networks in the planning rather than the operational phase Includes exercises at the end of each chapter
Matthew N.O. Sadiku
Local Area Networks Metropolitan Area Networks Performance Analysis Probability Queuing Theory Self-similarity Wide Area Networks Wireless Networks