MOBILE EDGE COMPUTING IN 5G COMMUNICATION SYSTEMS 本书特色

首先从移动边缘计算产生的背景及历史出发，阐述移动边缘计算的基本概念，并结合5G网络发展及运营商转型的现状，探讨移动边缘计算的发展方向；接着讲述与移动边缘计算相关的关键使能技术；然后对移动边缘计算的部署场景及应用实例进行总结，并给出相关产业及标准的进展情况；描述英特尔公司针对移动边缘计算发布的网络边缘虚拟化开发套件。

MOBILE EDGE COMPUTING IN 5G COMMUNICATION SYSTEMS 内容简介

首先从移动边缘计算产生的背景及历史出发，阐述移动边缘计算的基本概念，并结合5G网络发展及运营商转型的现状，探讨移动边缘计算的发展方向；接着讲述与移动边缘计算相关的关键使能技术；然后对移动边缘计算的部署场景及应用实例进行总结，并给出相关产业及标准的进展情况；描述英特尔公司针对移动边缘计算发布的网络边缘虚拟化开发套件。

MOBILE EDGE COMPUTING IN 5G COMMUNICATION SYSTEMS 目录

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

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