Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
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
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.
Content Level »Graduate
Keywords »Local Area Networks - Metropolitan Area Networks - Performance Analysis - Probability - Queuing Theory - Self-similarity - Wide Area Networks - Wireless Networks
Introduction.- Probability and Random Variables.- Stochastic Processes.- Queueing Models.- Simulation.- Local Area Networks.- Metropolitan Area Networks.- Wide Area Networks.- Wireless Networks.- Self-Similarity of Network Traffic.