About the Authors -- Preface -- About the Companion Website -- 1 Why Do We Need Edge Computing? -- 1.1 The Background of the Emergence -- 1.2 The Evolutionary History -- 1.2.1 Technology Preparation Period -- 1.2.2 Rapid Growth Period -- 1.2.3 Intelligence Integration Period -- 1.3 What Is Edge Computing? -- 1.4 Summary and Practice -- 1.4.1 Summary -- 1.4.2 Practice Questions -- 1.4.3 Course Projects -- 2 Fundamentals of Edge Computing -- 2.1 Distributed Computing -- 2.1.1 Distributed Computing Technologies -- 2.1.2 Distributed System Platforms -- 2.2 The Basic Concept and Key Characteristics of Edge Computing -- 2.2.1 The Basic Concept -- 2.2.2 The Key Characteristics -- 2.3 Edge Computing vs. Cloud Computing -- 2.3.1 The Concept of Cloud Computing -- 2.3.2 The Big Data Era -- 2.3.3 Edge Computing vs. Cloud Computing -- 2.3.4 Advantages and Challenges of Edge Computing -- 2.4 Summary and Practice -- 2.4.1 Summary -- 2.4.2 Practice Questions -- 2.4.3 Course Projects -- 3 Architecture and Components of Edge Computing -- 3.1 Edge Infrastructure -- 3.1.1 Introduction to Edge Computing Architecture -- 3.1.2 Different Grades/Layers of Edge -- 3.1.3 Capabilities of Edge Infrastructure -- 3.1.4 New Progress of Edge Computing Architecture -- 3.1.5 Open Questions -- 3.2 Edge Computing Models -- 3.2.1 Overview and Definitions -- 3.2.2 Collaborative Edge Computing Models -- 3.2.3 Choosing the Right Model -- 3.2.4 Open Questions -- 3.3 Networking in Edge Computing -- 3.3.1 Introduction and Development Process of Edge Computing-Network Integration -- 3.3.2 Edge Computing-Network Architectures -- 3.3.3 Current Progress and Future Trend -- 3.4 Summary and Practice -- 3.4.1 Summary -- 3.4.2 Practice Questions -- 3.4.3 Course Projects -- 4 Toward Edge Intelligence -- 4.1 What Is Edge Intelligence? -- 4.1.1 Formal Definition -- 4.2 Hardware and Software Support -- 4.2.1 Hardware -- 4.2.2 Software -- 4.2.3 Container -- 4.3 Technologies Enabling Edge Intelligence -- 4.3.1 Compression Techniques -- 4.3.2 Hardware-Software Codesign for Edge Optimization -- 4.3.3 Applying Deep Learning Models on Resource-Constrained Edges -- 4.4 Edge Intelligent System Design and Optimization -- 4.4.1 Training on Edge -- 4.4.2 Model Inference on Edge -- 4.5 Summary and Practice -- 4.5.1 Summary -- 4.5.2 Practice Questions -- 4.5.3 Course Projects -- 5 Challenges and Solutions in Edge Computing -- 5.1 Programmability and Data Management -- 5.1.1 Programmability -- 5.1.2 Automatic Program Partitioning -- 5.1.3 Naming Conventions -- 5.1.4 Data Abstraction -- 5.2 Resource Allocation and Optimization -- 5.2.1 Scheduling Strategies -- 5.2.2 Data Offloading and Load Balancing -- 5.2.3 Optimization Metrics -- 5.3 Security, Privacy, and Service Management -- 5.3.1 Privacy Protection and Security -- 5.3.2 Edge Service Management -- 5.4 Deployment Strategies and Integration -- 5.4.1 Edge Nodes Deployment -- 5.4.2 Deployment of AI Models on Resource-Constrained Edge Devices -- 5.4.3 Integration with Vertical Industries -- 5.4.4 Hardware and Software Selection -- 5.5 Foundations and Business Models -- 5.5.1 Theoretical Foundations -- 5.5.2 Business Models -- 5.6 Summary and Practice -- 5.6.1 Summary -- 5.6.2 Practice Questions -- 5.6.3 Course Projects -- 6 Future Trends and Emerging Technologies -- 6.1 Edge Computing and New Paradigm -- 6.1.1 Related New Paradigms -- 6.1.2 What Is New for Edge Computing -- 6.1.3 Future -- 6.2 Integration with Artificial Intelligence -- 6.2.1 Basic Overview and Why Need Edge Computing -- 6.2.2 Integrating LLM with Edge Computing -- 6.2.3 Integration with Generative AI -- 6.2.4 Applications and Future -- 6.3 6G and Edge Computing -- 6.3.1 Basic Understanding for 6G -- 6.3.2 Mutual Influence: 6G and Edge Computing -- 6.3.3 Potential Applications and Challenges -- 6.4 Edge Computing in Space Exploration -- 6.4.1 Basic Concepts -- 6.4.2 Advanced Concepts and Architecture -- 6.4.3 Advanced Scenarios and Challenges -- 6.5 Summary and Practice -- 6.5.1 Summary -- 6.5.2 Practice Questions -- 6.5.3 Course Projects -- 7 Case Studies and Practical Applications -- 7.1 Manufacturing -- 7.2 Telecommunications -- 7.3 Healthcare -- 7.4 Smart Cities -- 7.5 Internet of Things -- 7.6 Retail -- 7.7 Autonomous Vehicles -- 7.8 Summary and Practice -- 7.8.1 Summary -- 7.8.2 Practice Questions -- 7.8.3 Course Projects -- 8 Privacy and Bias in Edge Computing -- 8.1 Privacy in Edge Computing -- 8.1.1 Privacy Concerns at Edge Computing -- 8.1.2 Various Forms of Privacy -- 8.1.3 Introduction of Privacy-Preserving Techniques -- 8.1.4 Open Research Problems -- 8.2 Accessibility and Digital Divide -- 8.2.1 What Is Bias? -- 8.2.2 Types of Biases -- 8.2.3 Causes of Biases? -- 8.2.4 Bias Impact on Edge Computing Algorithms -- 8.2.5 Bias Mitigation Techniques -- 8.2.6 Open Research Problems -- 8.3 Summary and Practice -- 8.3.1 Summary -- 8.3.2 Practice Questions -- 8.3.3 Course Projects -- References -- 9 Conclusion and Future Directions -- 9.1 Key Insights and Conclusions -- 9.2 So, What Is Next? -- Index.