Mobile Edge Computing and Communications

Aaron Yi Ding leads the Cyber-Physical Intelligence Lab as a Tenured Faculty of TU Delft University of Technology and Associate Professor (Docent) in Computer Science at the University of Helsinki. He received his PhD degree from the Department of Computer Science (Birthplace of Linux) at the University of Helsinki and his research focuses on Edge AI solutions for cyber-physical systems in smart health, mobility and energy domains. He is an Associate Editor for ACM Transactions on Internet of Things (TIOT), IEEE OJ-ITS and Multimodal Technologies and Interaction.Chamitha De Alwis received his PhD degree in Electronic Engineering from the University of Surrey, UK, in 2014. He works as a Senior Lecturer at the School of Computer Science and Technologies at the University of Bedfordshire. He is also a Senior Member of IEEE and contributes as a Consultant in the areas of telecommunication, 4G, 5G, IoT, and cybersecurity.Madhusanka Liyanage is Associate Professor/Ad Astra Fellow at the School of Computer Science in University College Dublin, Ireland. He is leading the Network Softwarization and Security Labs (NetsLab) at UCD. He is acting as a Docent/Adjunct Professor, University of Oulu, Finland. He received the Doctor of Technology degree in Communication Engineering from the University of Oulu, Finland, in 2016. He is also a Senior Member of IEEE, and received the “2020 IEEE ComSoc Outstanding Young Researcher” award by IEEE ComSoc EMEA.

• About the Authors xiiiPreface xvTo Our Readers xviiAcknowledgments xixAcronyms xxiPart I Introduction and Edge Applications 11 Introduction 31.1 Focus of the Book 31.2 The Vision of Edge 41.3 Stakeholders and Related Paradigms 62 Case for Multi-access Edge Computing 92.1 Case for Multi-access Edge Computing 92.2 MEC Reference Architecture 122.3 MEC Standardization 182.4 MEC Use Cases and Applications 192.5 Related Computing Paradigms to MEC 262.6 Comparison with Related Computing Paradigms 282.7 Summary 313 Edge-Based Video Analytics and Mobile Augmented Reality 333.1 Video Analytics Overview 333.2 Edge Video Analytics 353.3 Edge-Enabled Augmented Reality (AR) 403.4 Architecture Options for Mobile Augmented Reality 433.5 Applications of MEC-Based MAR 513.6 Technical Aspects of MEC-Based MAR 533.7 Summary and Outlook 564 MEC 2 for eHealthcare: Empowering Next-Generation Healthcare Systems 574.1 Introduction 574.2 MEC Enabled Use Cases 594.3 Realizing Use Cases with MEC 624.4 Deployment Challenges and Solutions 654.5 Conclusion 66Part II Technology Foundation 695 Edge AI 715.1 Overview of Edge AI 715.2 Training and Inference in Edge AI 735.3 Edge AI in Practice 795.4 Summary and Outlook 806 Edge Offloading 836.1 Motivation and Fundamental Concept 836.2 Edge Offloading 896.3 Edge Offloading in Practice 926.4 Summary and Outlook 947 Edge Storage and Caching 977.1 Edge Storage 987.2 Edge Caching 1027.3 Edge Caching Towards Information-Centric Networking 1037.4 Conclusion 1058 Edge Communication, Hardware and Enabling Frameworks 1078.1 Advancement of Communication Technologies 1078.2 Evolution of Communication Networks 1108.3 Edge Computing Landscape 1158.4 Edge Computing System Solutions 1198.5 Edge Hardware and Devices 1258.6 Edge Accelerators 1308.7 Industry Frameworks 1338.8 Concluding Remarks 136Part III Integration and Driving Forces 1379 Driving Forces for Edge Integration 1399.1 Internet of Things Toward Internet of Everything 1399.2 The Growth of Small Data 1409.3 AI/ML Based Communication Technologies 1409.4 Novel Technologies and Applications 1419.5 Conclusion 14310 Edge Security 14510.1 Introduction 14510.2 Security Threats in MEC 14610.3 Threat Vectors Related to the Access Network 14610.4 Threat Vectors Related to the Mobile Edge Network (MEN) 15010.5 Threat Vectors Related to the Core Network 15310.6 Architectural Threat Vectors 15610.7 Security Requirements of MEC 16010.8 Possible Security Solutions for MEC 16511 Edge Privacy 17111.1 Introduction 17111.2 Privacy in 5G and Beyond 17211.3 MEC Privacy 17411.4 Objectives for Privacy Preservation in MEC 17811.5 Privacy Protection Mechanisms for MEC 18011.6 Future Directions 18412 Telecom and Cloud Integration 18912.1 Introduction 18912.2 Network Softwarization in 5G Networks 19012.3 MEC Integration in 5G Backhaul 19112.5 Conclusion 203Part IV Outlook 20513 Conclusion and Outlook for MEC 2 207References 209Index 245