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

Cover
Title Page
Copyright
Contents
Biography of Authors
Abstract
List of Figures
List of Tables
Preface
Acknowledgments
List of Acronyms
Chapter 1 5G Networks
	1.1 History of Mobile Communication Systems
	1.2 5G: Vision and Motivation
	1.3 5G Service Quality and Business Requirements
		1.3.1 High User Experienced Data Rate and Ultra‐Low Latency
		1.3.2 Transparency, Consistency, User's QoE Personalization, and Service Differentiation
		1.3.3 Enhanced Security, Mobility, and Services Availability
		1.3.4 Seamless User Experience, Longer Battery Life, and Context Aware Networking
		1.3.5 Energy and Cost Efficiency, Network Scalability, and Flexibility
	1.4 5G Services, Applications, and Use Cases
	1.5 5G Standardization Activities
	1.6 Conclusion
	Bibliography
Chapter 2 5G Network Management for Big Data Streaming using Machine Learning
	2.1 Machine Learning for Multimedia Networking
		2.1.1 Data Collection
		2.1.2 Feature Engineering
		2.1.3 Ground Truth Quality Perception – Model Optimization and Training
		2.1.4 Performance Metrics, Testing, and Model Validation
	2.2 Machine Learning Paradigms
	2.3 Multimedia Big Data Streaming
	2.4 Deep Learning for IoT Big Data and Streaming Analytics
	2.5 Intelligent QoE‐based Big Data Strategies and Multimedia Streaming in Future Softwarized Networks
	2.6 Optimization of Data Management with ML in Softwarized 5G Networks
		2.6.1 A Multimodal Learning Framework for Video QoE Prediction
		2.6.2 Supervised‐Learning‐based QoE Prediction of Video Streaming in Future Networks
		2.6.3 OTT Service Providers
		2.6.4 ISP/MNOs
		2.6.5 Information Flow
	2.7 Conclusion
	Bibliography
Chapter 3 Quality of Experience Management of Multimedia Streaming Services
	3.1 Quality of Experience (QoE): Concepts and Definition
		3.1.1 Quality of Experience Influence Factors
	3.2 QoE Modeling and Assessment: Metrics and Models
		3.2.1 Subjective Quality Models
		3.2.2 Objective Quality Models
		3.2.3 Data‐driven Quality Models
	3.3 QoE Measurement, Assessment, and Management
	3.4 QoE Optimization and Control of Multimedia Streaming Services
		3.4.1 Customer Experience Management and QoE Monitoring
	3.5 Conclusion
	Bibliography
Chapter 4 Multimedia Streaming Services Over the Internet
	4.1 Internet‐Based Video Streaming: An Overview
		4.1.1 A Brief History of Internet‐Based Video Streaming
	4.2 HTTP Adaptive Streaming (HAS) Framework
	4.3 Server and Network‐Assisted DASH (SAND)
	4.4 Multimedia Delivery Chain and Service Management Issues
	4.5 Conclusion
	Bibliography
Chapter 5 QoE Management of Multimedia Services Using Machine Learning in SDN/NFV 5G Networks
	5.1 QoE‐Centric Routing Mechanisms for Improving Video Quality
	5.2 MPTCP/SR and QUIC Approaches for QoE Optimization
	5.3 Server and Network‐Assisted Optimization Approaches Using SDN/NFV
	5.4 QoE‐Centric Fairness and Personalized QoE Control
		5.4.1 QoE‐driven Optimization Approaches for Video Streaming Using Machine Learning
	5.5 Conclusion
	Bibliography
Chapter 6 Network Softwarization and Virtualization in Future Networks: The promise of SDN, NFV, MEC, and Fog/Cloud Computing
	6.1 Network Softwarization: Concepts and Use Cases
	6.2 Network Softwarization and Virtualization Technologies for Future Communication Platforms
		6.2.1 Software‐Defined Networking (SDN)
		6.2.2 Standardization Activities of SDN
		6.2.3 Traffic Management Applications for Stateful SDN Data Plane
		6.2.4 Network Function Virtualization (NFV)
		6.2.5 NFV Management and Orchestration (NFV MANO) Framework
		6.2.6 NFV Use Cases, Application Scenarios, and Implementation
		6.2.7 NFV Standardization Activities
		6.2.8 Network Hypervisors, Containers, and Virtual Machines
		6.2.9 Multiaccess Edge Computing (MEC): From Clouds to Edges
	6.3 Conclusion
	Bibliography
Chapter 7 Management of Multimedia Services in Emerging Architectures Using Big Data Analytics: MEC, ICN, and Fog/Cloud computing
	7.1 QoE‐Aware/Driven Adaptive Streaming Over MEC Architectures
	7.2 QoE‐aware Self‐Driving 3D Network Architecture
	7.3 QoE‐driven/aware Management Architecture Using ICN
	7.4 QoE‐aware Adaptive Streaming over Cloud/Fog Computing
	7.5 Conclusion
	Bibliography
Chapter 8 Emerging Applications and Services in Future 5G Networks
	8.1 QoE in Immersive AR/VR and Mulsemedia Applications
	8.2 QoE in Cloud Gaming Video Streaming Applications
	8.3 QoE in Light Field Applications
	8.4 Holographic and Future Media Communications
	8.5 Human‐Centric Services and 3D Volumetric Video Streaming
	8.6 New Video Compression Standards Toward 6G Networks
	8.7 Conclusion
	Bibliography
Chapter 9 5G Network Slicing Management Architectures and Implementations for Multimedia
	9.1 5G Network Slicing Architectures and Implementations
		9.1.1 Collaborative 5G Network Slicing Research Projects
		9.1.2 Open Source Orchestrators, Proof of Concepts, and Standardization Efforts
	9.2 5G Network Slicing Orchestration and Management in Multi‐domain
		9.2.1 Reference Architecture for Data‐Driven Network Management in 6G and Beyond Networks
	9.3 Conclusion
	Bibliography
Chapter 10 QoE Management of Multimedia Service Challenges in 5G Networks
	10.1 QoE Management and Orchestration in Future Networks
	10.2 Immersive Media Experience in Future Softwarized and Beyond Networks
	10.3 Development of New Subjective Assessment Methodologies for Emerging Services and Applications
	10.4 QoE‐aware Network Sharing and Slicing in Future Softwarized Networks
	10.5 QoE Measurement, Modeling, and Testing Issues Over 6G Networks
	10.6 QoE‐Centric Business Models in Future Softwarized Network
	10.7 Novel QoE‐driven Virtualized Multimedia 3D Services Delivery Schemes Over 6G Networks
	10.8 Novel 3D Cloud/Edge Models for Multimedia Applications and Elastic 3D Service Customization
	10.9 Security, Privacy, Trust
	10.10 Conclusion
	Bibliography
Chapter 11 Multimedia QoE‐Driven Services Delivery Toward 6G and Beyond Network
	11.1 The Roads Toward 6G and Beyond Networks
		11.1.1 Holographic and Future Media Communications
		11.1.2 Human‐Centric Services and 3D Volumetric Video Streaming
		11.1.3 Potential Features and Technologies in 6G Networks
	11.2 6G Innovative Network Architectures: From Network Softwarization to Intelligentization
		11.2.1 Network Management, Automation, and Orchestration
		11.2.2 Pervasive AI, ML, and Big Data Analytics
		11.2.3 New Protocol Stack and 3D Network Architectures
	11.3 6G Standardization Activities
	11.4 Conclusion
	Bibliography
Chapter 12 Multimedia Streaming Services Delivery in 2030 and Beyond Networks
	12.1 The Future of the Video Streaming Industry: Market Growth and Trends Toward 2030
	12.2 Future 2030 Communication Network and Computing Scenarios
	12.3 New Paradigms of Internetworking for 2030 and Beyond Networks
		12.3.1 Next‐Generation Human–Machine Interaction Network: A Human‐centric Hyper‐real Experience
		12.3.2 Multimedia Streaming Blockchain‐enabled Resource Management and Sharing for 2030 and Beyond Networks
	12.4 A General QoE Provisioning Ecosystem for 2030 and Beyond Networks
		12.4.1 Customer QoE Quantification
		12.4.2 QoE Analysis, Assessment, Measurement, and Visualization
		12.4.3 5G Network Performance and QoE Optimization
		12.4.4 Multistakeholders Collaboration for Video Content Delivery and Network Infrastructures
	12.5 Conclusion
	Bibliography
Index
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