| Description |
1 online resource |
| Contents |
Foreword; Acknowledgments; Contents; Chapter 1: Principles of€Performance Evaluation of€Computer Networks; 1.1 Motivation: Why Do We€Need to€Assess the€Performance of€Computer Networks?; 1.2 Classical and€Modern Scenarios: Examples from€Research Papers; 1.2.1 Performance Evaluation in€Classical Scenarios; 1.2.1.1 Application Layer; 1.2.1.2 Transport Layer; 1.2.1.3 Network Layer; 1.2.1.4 Link Layer; 1.2.2 Performance Evaluation in€Modern Scenarios; 1.2.2.1 Virtualization and€Cloud Computing; 1.2.2.2 Software-Defined Networking; 1.2.2.3 Network Functions Virtualization |
|
1.3 The Pillars of€Performance Evaluation of€Networking and€Communication Systems1.3.1 Experimentation/Prototyping, Simulation/Emulation, and€Modeling; 1.3.1.1 Network Experimentation and€Prototyping; 1.3.1.2 Network Simulation and€Emulation; 1.3.1.3 Analytical Modeling; Video Game Characterization; TCP Throughput; Aggregate Background Traffic; Error Models for€Communication Channels; 1.3.2 Supporting Strategies: Measurements; References; Chapter 2: Methods and€Techniques for€Measurements in€the€Internet; 2.1 Passive vs. Active vs. Hybrid Measurements |
|
2.2 Traffic Measurements: Packets, Flow Records, and€Aggregated Data2.3 Sampling Techniques for€Network Management; 2.4 Internet Topology: Measurements, Modeling, and€Analysis; 2.4.1 Internet Topology Resolution; 2.4.2 Internet Topology Discovery: Tools, Techniques, and€Datasets; 2.4.2.1 Topology Discovery Tools; 2.4.2.2 Topology Generator Tools; 2.4.2.3 Topology Datasets; 2.5 Challenges for€Traffic Measurements and€Analyses in€Virtual Environments; 2.5.1 Cloud Computing Environments; 2.5.2 Virtualization at Network Level; 2.6 Bandwidth Estimation Methods; References |
|
Chapter 3: A Primer on€Applied Statistics in€Computer Networking3.1 Statistics and€Computational Statistics; 3.2 I'm All About That Data; 3.3 Essential Concepts and€Terminology; 3.4 Descriptive Statistics; 3.4.1 I Mean It (Or Measures of€Centrality); 3.4.2 This Is Dull (Or Measures of€Dispersion); 3.4.3 Is It Paranormally Distributed? (Or Measures of€Asymmetry and€Tailedness) (Fig.€3.2); 3.5 Inferential Statistics; 3.5.1 Parameter Estimation: Point vs. Interval; 3.5.1.1 Confidence Intervals; Confidence Interval for€the€Mean; 3.5.2 Estimators and€Estimation Methods |
|
3.5.2.1 Essential Properties for€Estimators3.5.2.2 Likelihood Function and€Its Estimation; 3.6 The Heavy-Tailed Phenomenon; 3.6.1 Outlier Detection; 3.6.2 Heavy-Tailed Distributions and€Its Variations (Subclasses); 3.6.2.1 What Is This That Stands Before Me? ; 3.6.2.2 A Less Informal Look at the€Tail; Right Tail Properties of€Distributions; 3.6.3 Evidence of€Heavy-Tailedness in€Computer Networks; References; Chapter 4: Internet Traffic Profiling; 4.1 Traffic Analysis; 4.1.1 Identification and€Classification; 4.1.2 Techniques, Tools, and€Systems for€Traffic Profiling |
| Summary |
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 |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed April 5, 2017) |
| Subject |
Computer networks.
|
|
Information retrieval.
|
|
Communications engineering -- telecommunications.
|
|
Computer networking & communications.
|
|
COMPUTERS -- Networking -- General.
|
|
Computer networks
|
| Form |
Electronic book
|
| ISBN |
9783319545219 |
|
3319545213 |
|
