Performance Evaluation for Network Services, Systems and Protocols

  • Stênio Fernandes

Table of contents

  1. Front Matter
    Pages i-xi
  2. Stênio Fernandes
    Pages 113-152
  3. Stênio Fernandes
    Pages 153-175
  4. Stênio Fernandes
    Pages E1-E1

About this book

Introduction

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.


Keywords

Performance evaluation Advanced computer networking Communication networks Performance models Performance evaluation plans Traffic modeling and analysis Network measurements Internet topology Virtual environments Traffic identification and classification Workload generation Applied statistics Design of experiments

Authors and affiliations

  • Stênio Fernandes
    • 1
  1. 1.Centro de InformáticaUniversidade Federal de PernambucoRecifeBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-54521-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-54519-6
  • Online ISBN 978-3-319-54521-9
  • About this book