Alcardo Barakabitze, Andrew Hines

Multimedia Streaming in SDN/NFV and 5G Networks (eBook, ePUB)

Machine Learning for Managing Big Data Streaming

• Format: ePub

Produktbeschreibung

Multimedia Streaming in SDN/NFV and 5G Networks A comprehensive overview of Quality of Experience control and management of multimedia services in future networks In Multimedia Streaming in SDN/NFV and 5G Networks, renowned researchers deliver a high-level exploration of Quality of Experience (QoE) control and management solutions for multimedia services in future softwarized and virtualized 5G networks. The book offers coverage of network softwarization and virtualization technologies, including SDN, NFV, MEC, and Fog/Cloud Computing, as critical elements for the management of multimedia services in future networks, like 5G and 6G networks and beyond. Providing a fulsome examination of end-to-end QoE control and management solutions in softwarized and virtualized networks, the book concludes with discussions of probable future challenges and research directions in emerging multimedia services and applications, 5G network management and orchestration, network slicing and collaborative service management of multimedia services in softwarized networks, and QoE-oriented business models. The distinguished authors also explore: * Thorough introductions to 5G networks, including definitions and requirements, as well as Quality of Experience management of multimedia streaming services * Comprehensive explorations of multimedia streaming services over the internet and network softwarization and virtualization in future networks * Practical discussions of QoE management using SDN and NFV in future networks, as well as QoE management of multimedia services in emerging architectures, including MEC, ICN, and Fog/Cloud Computing * In-depth examinations of QoE in emerging applications, 5G network slicing architectures and implementations, and 5G network slicing orchestration and resource management Perfect for researchers and engineers in multimedia services and telecoms, Multimedia Streaming in SDN/NFV and 5G Networks will also earn a place in the libraries of graduate and senior undergraduate students with interests in computer science, communication engineering, and telecommunication systems.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 272
• Erscheinungstermin: 6. Dezember 2022
• Englisch
• ISBN-13: 9781119800811
• Artikelnr.: 68134072

Autorenporträt

Alcardo Barakabitze, PhD, is an Irish Research Council funded and MSCA ELITE-S Fellow at Dublin City University. He is a reviewer for a variety of journals and serves on the technical program committees of leading conferences. Andrew Hines, PhD, is Director of Research, Innovation and Impact for the School of Computer Science at University College Dublin. He is a committee member of the Audio Engineering Society (Ireland) and is a senior member of the IEEE.

Inhaltsangabe

Biography of Authors xi

Abstract xiii

List of Figures xv

List of Tables xix

Preface xxi

Acknowledgments xxv

List of Acronyms xxvii

1 5G Networks 1

1.1 History of Mobile Communication Systems 1

1.2 5G: Vision and Motivation 3

1.3 5G Service Quality and Business Requirements 6

1.3.1 High User Experienced Data Rate and Ultra-Low Latency 7

1.3.2 Transparency, Consistency, User's QoE Personalization, and Service Differentiation 9

1.3.3 Enhanced Security, Mobility, and Services Availability 9

1.3.4 Seamless User Experience, Longer Battery Life, and Context Aware Networking 10

1.3.5 Energy and Cost Efficiency, Network Scalability, and Flexibility 10

1.4 5G Services, Applications, and Use Cases 11

1.5 5G Standardization Activities 12

1.6 Conclusion 14

Bibliography 14

2 5G Network Management for Big Data Streaming using Machine Learning 19

2.1 Machine Learning for Multimedia Networking 19

2.1.1 Data Collection 20

2.1.2 Feature Engineering 21

2.1.3 Ground Truth Quality Perception - Model Optimization and Training 22

2.1.4 Performance Metrics, Testing, and Model Validation 22

2.2 Machine Learning Paradigms 22

2.3 Multimedia Big Data Streaming 23

2.4 Deep Learning for IoT Big Data and Streaming Analytics 25

2.5 Intelligent QoE-based Big Data Strategies and Multimedia Streaming in Future Softwarized Networks 26

2.6 Optimization of Data Management with ML in Softwarized 5G Networks 27

2.6.1 A Multimodal Learning Framework for Video QoE Prediction 27

2.6.2 Supervised-Learning-based QoE Prediction of Video Streaming in Future Networks 28

2.6.3 OTT Service Providers 29

2.6.4 ISP/MNOs 29

2.6.5 Information Flow 29

2.7 Conclusion 30

Bibliography 31

3 Quality of Experience Management of Multimedia Streaming Services 35

3.1 Quality of Experience (QoE): Concepts and Definition 35

3.1.1 Quality of Experience Influence Factors 36

3.2 QoE Modeling and Assessment: Metrics and Models 38

3.2.1 Subjective Quality Models 38

3.2.2 Objective Quality Models 39

3.2.3 Data-driven Quality Models 41

3.3 QoE Measurement, Assessment, and Management 42

3.4 QoE Optimization and Control of Multimedia Streaming Services 43

3.4.1 Customer Experience Management and QoE Monitoring 47

3.5 Conclusion 51

Bibliography 51

4 Multimedia Streaming Services Over the Internet 57

4.1 Internet-Based Video Streaming: An Overview 57

4.1.1 A Brief History of Internet-Based Video Streaming 57

4.2 HTTP Adaptive Streaming (HAS) Framework 59

4.3 Server and Network-Assisted DASH (SAND) 63

4.4 Multimedia Delivery Chain and Service Management Issues 66

4.5 Conclusion 68

Bibliography 68

5 QoE Management of Multimedia Services Using Machine Learning in SDN/NFV 5G Networks 73

5.1 QoE-Centric Routing Mechanisms for Improving Video Quality 74

5.2 MPTCP/SR and QUIC Approaches for QoE Optimization 76

5.3 Server and Network-Assisted Optimization Approaches Using Sdn/nfv 80

5.4 QoE-Centric Fairness and Personalized QoE Control 84

5.4.1 QoE-driven Optimization Approaches for Video Streaming Using Machine Learning 86

5.5 Conclusion 89

Bibliography 89

6 Network Softwarization and Virtualization in Future Networks: The promise of SDN, NFV, MEC, and Fog/Cloud Computi