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Performance Evaluation for Network Services, Systems and Protocols

  • Book
  • © 2017

Overview

  • Provides a balance between theory, best practices, and current challenges in advanced scenarios

  • Explains the theoretical background needed to understanding the solutions to common performance-related issues in computer networks

  • Examines a range of advanced topics, from methods and techniques for network measurements to Internet topology to Traffic Analysis

  • Includes chapters on measurements, applied statistics, traffic modeling and analysis, and design of experiments

  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

Keywords

About this book

This book provides a comprehensive view of the methods and approaches for performance evaluation of computer networks. It offers a clear and logical introduction to the topic, covering both fundamental concepts and practical aspects. It enables the reader to answer a series of questions regarding performance evaluation in modern computer networking scenarios, such as ‘What, where, and when to measure?’, ‘Which time scale is more appropriate for a particular measurement and analysis?’, 'Experimentation, simulation or emulation? Why?’, and ‘How do I best design a sound performance evaluation plan?’. 


The book includes concrete examples and applications in the important aspects of experimentation, simulation and emulation, and analytical modeling, with strong support from the scientific literature. It enables the identification of common shortcomings and highlights where students, researchers, and engineers should focus to conduct sound performance evaluation.  


This book is a useful guide to advanced undergraduates and graduate students, network engineers, and researchers who plan and design proper performance evaluation of computer networks and services. Previous knowledge of computer networks concepts, mechanisms, and protocols is assumed. Although the book provides a quick review on applied statistics in computer networking, familiarity with basic statistics is an asset. It is suitable for advanced courses on computer networking as well as for more specific courses as a secondary textbook.



Authors and Affiliations

  • Centro de Informática, Universidade Federal de Pernambuco, Recife, Brazil

    Stênio Fernandes

About the author

Stênio F. L. Fernandes is a Professor of Computer Science at the Centro de Informática (CIn) of the Universidade Federal de Pernambuco (UFPE), in Recife (Brazil). He is Brazilian Research Chair and Senior Member of the IEEE. He received his B.S. and M.Sc. degrees in Electronic Engineering from the Universidade Federal da Paraiba (Campina Grande, Brazil) and his Ph.D. degree in Computer Science from the Universidade Federal de Pernambuco in collaboration with the University of Ottawa, Canada, where he has also held a Post-Doctoral fellowship position. He has been serving for a number of scientific journals and conferences. His research interests include Performance Evaluation of Network and Communications Systems; Internet Traffic Measurement, Modeling, and Analysis; and Virtualization of Networks and Services.

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