112,31 €
124,79 €
-10% with code: EXTRA
Performance Analysis of Computer Networks
Performance Analysis of Computer Networks
112,31
124,79 €
  • We will send in 10–14 business days.
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 undergradu…
  • Publisher:
  • ISBN-10: 3319377981
  • ISBN-13: 9783319377988
  • Format: 15.6 x 23.4 x 1.6 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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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  • Author: Matthew N O Sadiku
  • Publisher:
  • ISBN-10: 3319377981
  • ISBN-13: 9783319377988
  • Format: 15.6 x 23.4 x 1.6 cm, minkšti viršeliai
  • Language: English English

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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