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Foreword; Acknowledgments; Contents; Chapter 1: Principles ofßPerformance Evaluation ofßComputer Networks; 1.1 Motivation: Why Do WeßNeed toßAssess theßPerformance ofßComputer Networks?; 1.2 Classical andßModern Scenarios: Examples fromßResearch Papers; 1.2.1 Performance Evaluation inßClassical 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 inßModern Scenarios; 1.2.2.1 Virtualization andßCloud Computing; 1.2.2.2 Software-Defined Networking; 1.2.2.3 Network Functions Virtualization.
1.3 The Pillars ofßPerformance Evaluation ofßNetworking andßCommunication Systems1.3.1 Experimentation/Prototyping, Simulation/Emulation, andßModeling; 1.3.1.1 Network Experimentation andßPrototyping; 1.3.1.2 Network Simulation andßEmulation; 1.3.1.3 Analytical Modeling; Video Game Characterization; TCP Throughput; Aggregate Background Traffic; Error Models forßCommunication Channels; 1.3.2 Supporting Strategies: Measurements; References; Chapter 2: Methods andßTechniques forßMeasurements inßtheßInternet; 2.1 Passive vs. Active vs. Hybrid Measurements.
2.2 Traffic Measurements: Packets, Flow Records, andßAggregated Data2.3 Sampling Techniques forßNetwork Management; 2.4 Internet Topology: Measurements, Modeling, andßAnalysis; 2.4.1 Internet Topology Resolution; 2.4.2 Internet Topology Discovery: Tools, Techniques, andßDatasets; 2.4.2.1 Topology Discovery Tools; 2.4.2.2 Topology Generator Tools; 2.4.2.3 Topology Datasets; 2.5 Challenges forßTraffic Measurements andßAnalyses inßVirtual Environments; 2.5.1 Cloud Computing Environments; 2.5.2 Virtualization at Network Level; 2.6 Bandwidth Estimation Methods; References.
Chapter 3: A Primer onßApplied Statistics inßComputer Networking3.1 Statistics andßComputational Statistics; 3.2 I'm All About That Data; 3.3 Essential Concepts andßTerminology; 3.4 Descriptive Statistics; 3.4.1 I Mean It (Or Measures ofßCentrality); 3.4.2 This Is Dull (Or Measures ofßDispersion); 3.4.3 Is It Paranormally Distributed? (Or Measures ofßAsymmetry andßTailedness) (Fig.ß3.2); 3.5 Inferential Statistics; 3.5.1 Parameter Estimation: Point vs. Interval; 3.5.1.1 Confidence Intervals; Confidence Interval forßtheßMean; 3.5.2 Estimators andßEstimation Methods.
3.5.2.1 Essential Properties forßEstimators3.5.2.2 Likelihood Function andßIts Estimation; 3.6 The Heavy-Tailed Phenomenon; 3.6.1 Outlier Detection; 3.6.2 Heavy-Tailed Distributions andßIts Variations (Subclasses); 3.6.2.1 What Is This That Stands Before Me? ; 3.6.2.2 A Less Informal Look at theßTail; Right Tail Properties ofßDistributions; 3.6.3 Evidence ofßHeavy-Tailedness inßComputer Networks; References; Chapter 4: Internet Traffic Profiling; 4.1 Traffic Analysis; 4.1.1 Identification andßClassification; 4.1.2 Techniques, Tools, andßSystems forßTraffic Profiling.
1.3 The Pillars ofßPerformance Evaluation ofßNetworking andßCommunication Systems1.3.1 Experimentation/Prototyping, Simulation/Emulation, andßModeling; 1.3.1.1 Network Experimentation andßPrototyping; 1.3.1.2 Network Simulation andßEmulation; 1.3.1.3 Analytical Modeling; Video Game Characterization; TCP Throughput; Aggregate Background Traffic; Error Models forßCommunication Channels; 1.3.2 Supporting Strategies: Measurements; References; Chapter 2: Methods andßTechniques forßMeasurements inßtheßInternet; 2.1 Passive vs. Active vs. Hybrid Measurements.
2.2 Traffic Measurements: Packets, Flow Records, andßAggregated Data2.3 Sampling Techniques forßNetwork Management; 2.4 Internet Topology: Measurements, Modeling, andßAnalysis; 2.4.1 Internet Topology Resolution; 2.4.2 Internet Topology Discovery: Tools, Techniques, andßDatasets; 2.4.2.1 Topology Discovery Tools; 2.4.2.2 Topology Generator Tools; 2.4.2.3 Topology Datasets; 2.5 Challenges forßTraffic Measurements andßAnalyses inßVirtual Environments; 2.5.1 Cloud Computing Environments; 2.5.2 Virtualization at Network Level; 2.6 Bandwidth Estimation Methods; References.
Chapter 3: A Primer onßApplied Statistics inßComputer Networking3.1 Statistics andßComputational Statistics; 3.2 I'm All About That Data; 3.3 Essential Concepts andßTerminology; 3.4 Descriptive Statistics; 3.4.1 I Mean It (Or Measures ofßCentrality); 3.4.2 This Is Dull (Or Measures ofßDispersion); 3.4.3 Is It Paranormally Distributed? (Or Measures ofßAsymmetry andßTailedness) (Fig.ß3.2); 3.5 Inferential Statistics; 3.5.1 Parameter Estimation: Point vs. Interval; 3.5.1.1 Confidence Intervals; Confidence Interval forßtheßMean; 3.5.2 Estimators andßEstimation Methods.
3.5.2.1 Essential Properties forßEstimators3.5.2.2 Likelihood Function andßIts Estimation; 3.6 The Heavy-Tailed Phenomenon; 3.6.1 Outlier Detection; 3.6.2 Heavy-Tailed Distributions andßIts Variations (Subclasses); 3.6.2.1 What Is This That Stands Before Me? ; 3.6.2.2 A Less Informal Look at theßTail; Right Tail Properties ofßDistributions; 3.6.3 Evidence ofßHeavy-Tailedness inßComputer Networks; References; Chapter 4: Internet Traffic Profiling; 4.1 Traffic Analysis; 4.1.1 Identification andßClassification; 4.1.2 Techniques, Tools, andßSystems forßTraffic Profiling.