作者長期專注泛在網絡計算，曾深度參與我國多項5G相關的重要項目，發達國家的物聯網應用項目；內容緊跟全球信息技術發展趨勢，服務於5G、邊緣計算和物聯網應用融合的場景；將作者團隊的特色理論貢獻和工業實踐相結合，對科研和工程有實用價值；補充了國內國際圖書市場上5G和邊緣計算場景中微服務方面理論作品的需求。

●Chapter 1 Introduction 1
Chapter 2 Design Concepts for Pervasive Applications 5
2 1 Motivating Scenario:A Smart Public Space 6
2 1 1 Challenges 9
2 1 2 sible Solutions 11
2 2 Locating A Provider 14
2 2 1 Reactive Discovery 15
2 2 2 Proactive Discovery 16
2 2 3 Planning-based Composition Announcement 18
2 3 Request Routing 21
2 3 1 Controlled Flooding 22
2 3 2 Directory-based 23
2 3 3 Overlay-based 25
2 3 4 Dynamic Controlled Flooding 26
2 4 Composition Planning 28
2 4 1 Open Service Discovery 28
2 4 2 Goal-oriented Planning 30
2 4 3 Decentralized Flexible Backward Planning 31
2 5 Service Binding 32
2 5 1 QoS-based Selection 33
2 5 2 Adaptable Binding 34
2 5 3 On-demand Binding 35
2 5 4 Path Reliability-driven Selection 35
2 5 5 Bind Microservices on-demand 36
2 6 Service Invocation 37
2 6 1 Fragments Distribution 37
2 6 2 Process Migration Approaches 38
2 6 3 Runtime Service Announcement 39
2 7 Fault Tolerance 40
2 7 1 Preventive Adaptation 40
2 7 2 Composition Recovery 42
2 7 3 Local Execution Path Maintenance 43
2 8 Chapter Summary 44
Chapter 3 Microservice Deployment in Edge/Fog Computing Environments 45
3 1 Edge Computing:Pervasive Applications' New Enabler 46
3 2 Features in Edge Computing Environments 48
3 2 1 Latency-sensitive 49
3 2 2 Mobility is Everywhere 49
3 2 3 Openness of Network Systems 50
3 2 4 Constantly Changing Environment 50
3 2 5 Limited Power Supply 51
3 3 Fog as a Service Model 51
3 4 Edge/Fog Computing Architecture 54
3 5 Fog Node Overlay Network 56
3 6 Hierarchical Microservices Management 57
3 6 1 Fog Services and Service Composition 57
3 6 2 Proxy Fog Nodes 58
3 6 3 Seamless Service Invocation 59
3 7 Adaptability at Edge 59
3 7 1 Monitoring Environmental Changes 61
3 7 2 Adaptation Analysis Based on Deep Learning 62
3 7 3 Adaptation Planning Based on Reinforcement Learning 63
3 7 4 Strategy Execution and Knowledge Base Utilization 63
3 7 5 Extension of the MAPE-K Framework 64
3 8 Microservice Deployment and Dynamic Redeployment 65
3 9 Examples of Pervasive Applications at Edge 67
3 9 1 Mobile Video 67
3 9 2 Smart Home 68
3 9 3 Computational Offloading 69
3 10 Open Issues to Edge-enabled Pervasive Applications 71
3 10 1 End-to-end Security 71
3 10 2 Distributed Runtime Management 71
3 10 3 Scalability and Reconfigurability 72
3 10 4 Predictive Fault Tolerance 73
3 10 5 Intelligent Edge Computing for 6G 73
3 11 Chapter Summary 74
Chapter 4 Microservices Composition Model 75
4 1 Microservice Model 78
4 2 Dynamic Goal-driven Composition Planning 79
4 2 1 Local Service Planning 84
4 2 2 Complex Service Flows 88
4 3 Heuristic Service Discovery 90
4 4 Execution Fragments Selection and Invocation 93
4 4 1 Microservice Composite Selection and Invocation 94
4 4 2 Service Execution and Guidepost Adaptation 95
4 5 Discussions 97
4 5 1 Quantitative Analysis 97
4 5 2 Service Flows 99
4 5 3 Privacy and Security 99
4 5 4 Semantic Matchmaking 100
4 5 5 High Composition Demand 100
4 6 Chapter Summary 101
Chapter 5 Cooperative Microservices Provisioning 103
5 1 Cooperative Caching and Selfish Caching 105
5 1 1 Social Behaviours in Caching 105
5 1 2 Social Selfishness of Service Providers 106
5 2 Local Optimal Caching Algorithm with Social Selfishness 106
5 3 Cooperative Devices 107
5 4 Social Selfishness-based Utility 108
5 4 1 Access Admission Mechanism 109
5 4 2 Social Group Utility Mechanism 110
5 5 Service Deployment and Provisioning Game 112
5 6 Optimal Local Service Deployment 112
5 7 Chapter Summary 116
Chapter 6 Implementation I:Service Middleware 117
6 1 Service Composition Architecture 118
6 2 Client and Provider 121
6 2 1 Client Engine 121
6 2 2 Microservices Provider 123
6 3 Routing Controller 125
6 4 Guidepost Manager 125
6 4 1 Adapting a Guidepost 126
6 4 2 Guidepost Data in Service Execution 128
6 5 Message Helper 128
6 6 Prototypes 129
6 6 1 Prototype on Android 129
6 6 2 Prototype on ns-3 131
6 7 Implementation Summary 132
Chapter 7 Implementation II:Artificial Intelligence Services 133
7 1 Service Provisioning Frameworks 134
7 1 1 Spring Cloud 135
7 1 2 Service Configuration 136
7 1 3 Service Registration at Edge 137
7 1 4 Service Gateway 139
7 2 Deploy AI Models 141
7 2 1 Packed as a Microservice 142
7 2 2 Microservice Deployment 147
7 2 3 Platforms for AI Services 150
7 3 Challenges for AI-based Services Composition 151
7 3 1 Feature Heterogeneity 151
7 3 2 High-dimensional Data 152
7 3 3 Dynamic Raw Data 152
7 4 Implementation Summary 152
Chapter 8 Evaluation 155
8 1 Evaluation Methods and Criteria 156
8 2 Prototype Case Study 158
8 2 1 Case Study Configurations 159
8 2 2 Samples and Results 161
8 3 Simulation Studies 166
8 3 1 Environment Configurations 166
8 3 2 Baseline Approach 171
8 3 3 Simulation Results and Analysis 172
8 4 Evaluation Summary 188
8 4 1 Service Composition 188
8 4 2 Cooperative Service Provisioning 189
Chapter 9 Discussions and Conclusions 191
Appendix A Further Implementation Detail:Prototypes 195
A 1 GoCoMo App 196
A 2 GoCoMo-ns3 199
Appendix B Evaluation Results' Validity 201
B 1 CoopC and GoCoMo's Service Discovery Time 202
B 2 CoopC and GoCoMo's Service Discovery Traffic 203
B 3 CoopC and GoCoMo's Response Time 204
B 4 CoopC and GoCoMo's Composition Traffic 205
Appendix C Glossary of Key Terms 207
Bibliography 211

本書聚焦移動微服務的應用層面，討論普適計算環境下的微服務組合。具體內容包括微服務普適應用的設計概念、邊緣或霧計算環境下的微服務部署、改善總體服務可用性的合作式微服務布局，以及移動微服務的一個實現案例GoCoMo，書中還評估了所提供解決方案在多大程度上可以應對普適計算環境下的已知挑戰、能多大程度解決學術研究所提出的問題，在總結了服務組合問題後，作者也指出了一些有待進一步研究解決的問題，本書適合邊緣計算、移動普適計算、5G網絡應用等方面的研究人員、工程師及研究生等人員參考。

陳南希 著