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Multimedia Streaming in SDN/NFV and 5G Networks: Machine Learning for Managing Big Data Streaming [Kõva köide]

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(University College Dublin (UCD), Dublin, Ireland), (University College Dublin (UCD), Dublin, Ireland)
  • Formaat: Hardback, 272 pages, kaal: 635 g
  • Sari: IEEE Press
  • Ilmumisaeg: 30-Jan-2023
  • Kirjastus: Wiley-IEEE Press
  • ISBN-10: 111980079X
  • ISBN-13: 9781119800798
Teised raamatud teemal:
Multimedia Streaming in SDN/NFV and 5G Networks: Machine Learning for Managing Big Data StreamingSuurem pilt
  • Formaat: Hardback, 272 pages, kaal: 635 g
  • Sari: IEEE Press
  • Ilmumisaeg: 30-Jan-2023
  • Kirjastus: Wiley-IEEE Press
  • ISBN-10: 111980079X
  • ISBN-13: 9781119800798
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781119800798.html
Märksõnad:
A comprehensive overview of Quality of Experience control and management of multimedia services in future networks

In QoE Management of Multimedia Streaming Services in Future 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, QoE Management of Multimedia Streaming Services in Future 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.

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(18)
1.1 History of Mobile Communication Systems
1(2)
1.2 5G: Vision and Motivation
3(3)
1.3 5G Service Quality and Business Requirements
6(5)
1.3.1 High User Experienced Data Rate and Ultra-Low Latency
7(2)
1.3.2 Transparency, Consistency, User's QoE Personalization, and Service Differentiation
9(1)
1.3.3 Enhanced Security, Mobility, and Services Availability
9(1)
1.3.4 Seamless User Experience, Longer Battery Life, and Context Aware Networking
10(1)
1.3.5 Energy and Cost Efficiency, Network Scalability, and Flexibility
10(1)
1.4 5G Services, Applications, and Use Cases
11(1)
1.5 5G Standardization Activities
12(2)
1.6 Conclusion
14(5)
Bibliography
14(5)
2 5G Network Management for Big Data Streaming using Machine Learning
19(16)
2.1 Machine Learning for Multimedia Networking
19(3)
2.1.1 Data Collection
20(1)
2.1.2 Feature Engineering
21(1)
2.1.3 Ground Truth Quality Perception - Model Optimization and Training
22(1)
2.1.4 Performance Metrics, Testing, and Model Validation
22(1)
2.2 Machine Learning Paradigms
22(1)
2.3 Multimedia Big Data Streaming
23(2)
2.4 Deep Learning for IoT Big Data and Streaming Analytics
25(1)
2.5 Intelligent QoE-based Big Data Strategies and Multimedia Streaming in Future Softwarized Networks
26(1)
2.6 Optimization of Data Management with ML in Softwarized 5G Networks
27(3)
2.6.1 A Multimodal Learning Framework for Video QoE Prediction
27(1)
2.6.2 Supervised-Learning-based QoE Prediction of Video Streaming in Future Networks
28(1)
2.6.3 OTT Service Providers
29(1)
2.6.4 ISP/MNOs
29(1)
2.6.5 Information Flow
29(1)
2.7 Conclusion
30(5)
Bibliography
31(4)
3 Quality of Experience Management of Multimedia Streaming Services
35(22)
3.1 Quality of Experience (QoE): Concepts and Definition
35(3)
3.1.1 Quality of Experience Influence Factors
36(2)
3.2 QoE Modeling and Assessment: Metrics and Models
38(4)
3.2.1 Subjective Quality Models
38(1)
3.2.2 Objective Quality Models
39(2)
3.2.3 Data-driven Quality Models
41(1)
3.3 QoE Measurement, Assessment, and Management
42(1)
3.4 QoE Optimization and Control of Multimedia Streaming Services
43(8)
3.4.1 Customer Experience Management and QoE Monitoring
47(4)
3.5 Conclusion
51(6)
Bibliography
51(6)
4 Multimedia Streaming Services Over the Internet
57(16)
4.1 Internet-Based Video Streaming: An Overview
57(2)
4.1.1 A Brief History of Internet-Based Video Streaming
57(2)
4.2 HTTP Adaptive Streaming (HAS) Framework
59(4)
4.3 Server and Network-Assisted DASH (SAND)
63(3)
4.4 Multimedia Delivery Chain and Service Management Issues
66(2)
4.5 Conclusion
68(5)
Bibliography
68(5)
5 QoE Management of Multimedia Services Using Machine Learning in SDN/NFV 5G Networks
73(26)
5.1 QoE-Centric Routing Mechanisms for Improving Video Quality
74(2)
5.2 MPTCP/SR and QUIC Approaches for QoE Optimization
76(4)
5.3 Server and Network-Assisted Optimization Approaches Using SDN/NFV
80(4)
5.4 QoE-Centric Fairness and Personalized QoE Control
84(5)
5.4.1 QoE-driven Optimization Approaches for Video Streaming Using Machine Learning
86(3)
5.5 Conclusion
89(10)
Bibliography
89(10)
6 Network Softwarization and Virtualization in Future Networks: The promise of SDN, NFV, MEC, and Fog/Cloud Computing
99(20)
6.1 Network Softwarization: Concepts and Use Cases
99(1)
6.2 Network Softwarization and Virtualization Technologies for Future Communication Platforms
100(11)
6.2.1 Software-Defined Networking (SDN)
100(2)
6.2.2 Standardization Activities of SDN
102(1)
6.2.3 Traffic Management Applications for Stateful SDN Data Plane
103(1)
6.2.4 Network Function Virtualization (NFV)
103(3)
6.2.5 NFV Management and Orchestration (NFV MANO) Framework
106(1)
6.2.6 NFV Use Cases, Application Scenarios, and Implementation
107(1)
6.2.7 NFV Standardization Activities
107(1)
6.2.8 Network Hypervisors, Containers, and Virtual Machines
108(2)
6.2.9 Multiaccess Edge Computing (MEC): From Clouds to Edges
110(1)
6.3 Conclusion
111(8)
Bibliography
112(7)
7 Management of Multimedia Services in Emerging Architectures Using Big Data Analytics: MEC, ICN, and Fog/Cloud computing
119(14)
7.1 QoE-Aware/Driven Adaptive Streaming Over MEC Architectures
119(2)
1.2 QoE-aware Self-Driving 3D Network Architecture
121(3)
7.3 QoE-driven/aware Management Architecture Using ICN
124(2)
7.4 QoE-aware Adaptive Streaming over Cloud/Fog Computing
126(1)
7.5 Conclusion
127(6)
Bibliography
127(6)
8 Emerging Applications and Services in Future 5G Networks
133(14)
8.1 QoE in Immersive AR/VR and Mulsemedia Applications
133(2)
8.2 QoE in Cloud Gaming Video Streaming Applications
135(1)
8.3 QoE in Light Field Applications
136(1)
8.4 Holographic and Future Media Communications
137(1)
8.5 Human-Centric Services and 3D Volumetric Video Streaming
137(2)
8.6 New Video Compression Standards Toward 6G Networks
139(1)
8.7 Conclusion
140(7)
Bibliography
141(6)
9 5G Network Slicing Management Architectures and Implementations for Multimedia
147(20)
9.1 5G Network Slicing Architectures and Implementations
147(9)
9.1.1 Collaborative 5G Network Slicing Research Projects
148(4)
9.1.2 Open Source Orchestrators, Proof of Concepts, and Standardization Efforts
152(4)
9.2 5G Network Slicing Orchestration and Management in Multi-domain
156(5)
9.2.1 Reference Architecture for Data-Driven Network Management in 6G and Beyond Networks
158(3)
9.3 Conclusion
161(6)
Bibliography
162(5)
10 QoE Management of Multimedia Service Challenges in 5G Networks
167(18)
10.1 QoE Management and Orchestration in Future Networks
167(1)
10.2 Immersive Media Experience in Future Softwarized and Beyond Networks
168(2)
10.3 Development of New Subjective Assessment Methodologies for Emerging Services and Applications
170(1)
10.4 QoE-aware Network Sharing and Slicing in Future Softwarized Networks
171(1)
10.5 QoE Measurement, Modeling, and Testing Issues Over 6G Networks
172(1)
10.6 QoE-Centric Business Models in Future Softwarized Network
172(2)
10.7 Novel QoE-driven Virtualized Multimedia 3D Services Delivery Schemes Over 6G Networks
174(1)
10.8 Novel 3D Cloud/Edge Models for Multimedia Applications and Elastic 3D Service Customization
174(2)
10.9 Security, Privacy, Trust
176(1)
10.10 Conclusion
177(8)
Bibliography
178(7)
11 Multimedia QoE-Driven Services Delivery Toward 6G and Beyond Network
185(18)
11.1 The Roads Toward 6G and Beyond Networks
185(9)
11.1.1 Holographic and Future Media Communications
189(1)
11.1.2 Human-Centric Services and 3D Volumetric Video Streaming
190(1)
11.1.3 Potential Features and Technologies in 6G Networks
191(3)
11.2 6G Innovative Network Architectures: From Network Softwarization to Intelligentization
194(4)
11.2.1 Network Management, Automation, and Orchestration
194(2)
11.2.2 Pervasive AI, ML, and Big Data Analytics
196(1)
11.2.3 New Protocol Stack and 3D Network Architectures
197(1)
11.3 6G Standardization Activities
198(1)
11.4 Conclusion
199(4)
Bibliography
199(4)
12 Multimedia Streaming Services Delivery in 2030 and Beyond Networks
203(11)
12.1 The Future of the Video Streaming Industry: Market Growth and Trends Toward 2030
203(1)
12.2 Future 2030 Communication Network and Computing Scenarios
204(2)
12.3 New Paradigms of Internetworking for 2030 and Beyond Networks
206(5)
12.3.1 Next-Generation Human-Machine Interaction Network: A Human-centric Hyper-real Experience
207(2)
12.3.2 Multimedia Streaming Blockchain-enabled Resource Management and Sharing for 2030 and Beyond Networks
209(2)
12.4 A General QoE Provisioning Ecosystem for 2030 and Beyond Networks
211(3)
12.4.1 Customer QoE Quantification
213(1)
12.4.2 QoE Analysis, Assessment, Measurement, and Visualization
213(1)
12.4.3 5G Network Performance and QoE Optimization
214(1)
12 A A Multistakeholders Collaboration for Video Content Delivery and Network Infrastructures
214(4)
12.5 Conclusion
218(1)
Bibliography 218(3)
Index 221
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.