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

By: Sadiku, Matthew N.O [author.].
Contributor(s): Musa, Sarhan M [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Cham : Springer International Publishing : Imprint: Springer, 2013Description: XIII, 279 p. 127 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319016467.Subject(s): Computer science | Computer communication systems | Computer Science | Computer Communication NetworksAdditional physical formats: Printed edition:: No titleDDC classification: 004.6 Online resources: Click here to access online
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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