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Performance Analysis of Computer Networks [electronic resource] / by Matthew N.O. Sadiku, Sarhan M. Musa.

By: Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2013Description: XIII, 279 p. 127 illus. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319016467
Subject(s): Additional physical formats: Printed edition:: No titleDDC classification:
  • 004.6 23
LOC classification:
  • TK5105.5-5105.9
Online resources:
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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