Multimedia streaming in SDN/NFV and 5G networks : machine learning for managing big data streaming / Alcardo Barakabitze and Andrew Hines.

Format:

Book

Author/Creator:

Barakabitze, Alcardo, author.

Hines, Andrew, author.

Series:

IEEE Press

Language:

English

Subjects (All):

Streaming technology (Telecommunications).

Software-defined networking (Computer network technology).

5G mobile communication systems.

Big data.

Machine learning.

Physical Description:

1 online resource (275 pages)

Edition:

1st.

Place of Publication:

Hoboken, New Jersey : John Wiley & Sons, Inc., [2023]

Summary:

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.

Contents:

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

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

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

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

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

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

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

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

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

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

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

Index

EULA.

Notes:

Includes bibliographical references and index.

Description based on print version record.

Other Format:

Print version: Barakabitze, Alcardo Multimedia Streaming in SDN/NFV and 5G Networks

ISBN:

1-119-80082-X

1-119-80080-3

OCLC:

1379486973