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首先從移動邊緣計算產生的背景及歷史出發，闡述移動邊緣計算的基本概念，並結合5G網路發展及運營商轉型的現狀，探討移動邊緣計算的發展方向；接著講述與移動邊緣計算相關的關鍵使能技術；然後對移動邊緣計算的部署場景及應用實例進行總結，並給出相關產業及標準的進展情況；描述英特爾公司針對移動邊緣計算發佈的網路邊緣虛擬化開發套件。
俞一帆
男，1979年1月出生，於2006年在北京郵電大學獲工學博士學位，高級工程師。長期從事通信與電腦網路的理論與技術研究、設備開發工作。 任春明，男，於1999年在北京理工大學獲得機電工程學位。從事嵌入式和通訊設備開發工作超過15年，目前就職於英特爾網路平臺事業部，參與移動邊緣計算，CRAN等網路平臺技術研發管理工作。
Chapter 1 Overview 5
1.1 The origin of Mobile Edge Computing 5
1.2 5G network development and operator transformation 10
References 15
16
Chapter 2 MEC Overview 16
16
2.1 Overall system architecture 17
2.1.1 Basic system composition 17
2.1.2 Basic system environment 19
2.2 Detailed explanation of system components 20
2.2.1 Routing subsystem 20
2.2.2 Capacity opening subsystem 24
2.2.4 Edge cloud infrastructure 31
2.3 The influence on the evolution of 5G network 32
2.3.1 Local data distribution 34
2.3.2 Local policy control 36
2.3.3 Local billing 36
References 37
39
Chapter 3 Edge routing technology 39
3.1 Local data distribution 40
3.1.1 Traffic offload 40
3.1.2 LIPA/SIPTO 42
3.1.3 Packet filter 43
3.2 Mobility support 46
3.2.1 Coordinated SIPTO 47
3.2.2 IP Flow Mobility 47
3.2.3 Distributed mobility management 48
References 50
51
Chapter 4 Wireless Network Capacity Opening 51
4.1 Capacity opening architecture 53
4.1.1 3GPP SCEF architecture 53
4.1.2 ETSI MEC capacity opening architecture 55
4.1.3 Capacity opening architecture of IMT-2020 56
4.2 Capacity opening realization 58
4.2.1 Opening interface 58
4.2.2 Opening method 60
4.3 Capacity opening content 66
References 68
69
Chapter 5 69
Edge computing platform 69
and computing technology 69
5.1 Basic hardware environment 70
5.1.1 Servers 70
5.1.2 Network adapter 71
5.1.3 Memory 72
5.1.4 Hardware accelerator 73
5.2 Basic software environment 74
5.2.1 Cloud platform management 74
5.2.2 Host virtualization 76
5.2.3 Switch virtualization 77
5.2.4 Hardware accelerator virtualization 78
5.3 Edge computing technology 79
5.3.1 Micro Cloud 79
5.3.2 Cloudlet 80
5.3.3 Fog computing 81
References 87
88
Chapter 6 88
Deployment scenarios and application examples 88
6.1 Scenario 1: Deployment based on LTE base station 89
6.2 Scenario 2: Deployment based on convergent points of base stations 89
6.3 Scenario 3: deployment based on Radio Network Controller 90
6.4 Application examples 91
6.4.1 Location-based services 91
6.4.2 Augmented reality 92
6.4.3 Video choreography and analysis 93
6.4.4 Content acceleration based on wireless perception 93
6.4.5 Performance optimization based on application perception 94
6.4.6 Gateway of Internet of Things 95
6.4.7 Edge CDN 96
6.4.8 Application of Enterprise Networks 97
6.4.9 Internet of Vehicles 98
6.4.10 Computing assistance 99
References 100
101
Chapter 7 101
Standards and Industrial Development 101
7.1 Standard development 102
7.1.1 ETSI 102
7.1.2 3GPP 105
7.1.5 OpenFog Alliance 108
7.2 Telecom manufacturers 109
7.2.1 NOKIA 109
7.2.2 ZTE 110
7.2.3 DT Mobile 110
7.2.4 Huawei 111
7.2.5 Baicells 111
7.2.6 Saguna Networks 112
7.3 IT manufacturers 113
7.3.1 Intel 113
7.3.2 ADLINK 113
7.3.3 Artesyn 113
7.3.4 ACS 113
7.3.5 IneoQuest 114
7.4 Internet manufacturers 115
7.4.1 115
7.4.2 Microsoft 115
References 117
118
Chapter 8 118
Intel Network Edge 118
Virtualization Development Kit 118
8.1 Kit Profile 119
8.2 Kit Architecture 119
8.2.1 Architectural overview 120
8.2.2 Detailed explanation of function modules 121
8.2.3 Application programming interface 124
References 127
