Campus Network Architectures and Technologies

Cover
Half Title
Series Page
Title Page
Copyright Page
Table of Contents
Summary
Introduction
Acknowledgments
Authors
Chapter 1 Getting to Know a Campus Network
	1.1 CAMPUS NETWORK OVERVIEW
		1.1.1 What Is a Campus Network?
		1.1.2 How Do Campus Networks Differ?
		1.1.3 What Do Campus Networks Consist Of?
	1.2 PAST AND PRESENT OF CAMPUS NETWORKS
		1.2.1 First-Generation: From “Sharing” to “Switching”
		1.2.2 Second-Generation: Layer 3 Routed Switching
		1.2.3 Third-Generation: Multiservice Converged Support
Chapter 2 Campus Network Development Trends and Challenges
	2.1 INEVITABLE INDUSTRY DIGITAL TRANSFORMATION
		2.1.1 Large Enterprises
		2.1.2 Education
		2.1.3 e-Government Services
		2.1.4 Retail
	2.2 CHALLENGES TO CAMPUS NETWORKS PRESENTED BY DIGITAL TRANSFORMATION
		2.2.1 Ubiquitous Connections
		2.2.2 On-Demand Services
		2.2.3 Perceptible and Visible Experience
		2.2.4 Efficient and Intelligent O&M
		2.2.5 Strong and Unbreakable Security
		2.2.6 Open and Sharing Ecosystem
	2.3 THE INDUSTRY’S VIEW OF NETWORKS IN THE DIGITAL WORLD
		2.3.1 Autonomous Driving Networks May Be the Ultimate Solution
		2.3.2 Intent-Driven Networks Achieve Level 3 Autonomous Driving
	2.4 ROAD TO CAMPUS NETWORK RECONSTRUCTION
		2.4.1 Ultra-Broadband
		2.4.2 Simplicity
		2.4.3 Intelligence
		2.4.4 Security
		2.4.5 Openness
Chapter 3 Overall Architecture of an Intent-Driven Campus Network
	3.1 BASIC ARCHITECTURE OF AN INTENT-DRIVEN CAMPUS NETWORK
	3.2 KEY INTERACTION INTERFACES ON AN INTENT-DRIVEN CAMPUS NETWORK
		3.2.1 NETCONF Protocol
		3.2.2 YANG Model
		3.2.3 RESTful APIs
	3.3 SERVICE MODELS OF AN INTENT-DRIVEN CAMPUS NETWORK
		3.3.1 Service Layering of an Intent-Driven Campus Network
		3.3.2 Abstract Model of the Underlay Network
		3.3.3 Abstract Model of the Overlay Network
		3.3.4 Abstract Model of the Campus Service Layer
	3.4 CLOUD-BASED DEPLOYMENT MODES OF AN INTENT-DRIVEN CAMPUS NETWORK
Chapter 4 Building Physical Networks for an Intent-Driven Campus Network
	4.1 ULTRA-BROADBAND FORWARDING ON A PHYSICAL NETWORK
		4.1.1 Ultra-Broadband Forwarding Driven by Changes in the Campus Traffic Model
		4.1.2 Evolution of the Wired Backbone Network Standard
		4.1.3 Evolution of the Wired Access Network Standard
		4.1.4 Evolution of Wireless Access: Wi-Fi 4, Wi-Fi 5, and Wi-Fi 6
	4.2 ULTRA-BROADBAND COVERAGE ON A PHYSICAL NETWORK
		4.2.1 IoT Drives a Fully Connected Campus Network
		4.2.2 IoT-Related Communication Protocols
		4.2.3 IoT Convergence Deployment Solution
		4.2.4 High-Power and Long-Distance PoE Power Supply
	4.3 BUILDING AN ULTRA-BROADBAND PHYSICAL NETWORK ARCHITECTURE
		4.3.1 Building an Ultra-Broadband Wired Network
		4.3.2 Building an Ultra-Broadband Wireless Network
Chapter 5 Building Virtual Networks for an Intent-Driven Campus Network
	5.1 INTRODUCTION TO NETWORK VIRTUALIZATION TECHNOLOGIES
		5.1.1 VLAN and VPN
		5.1.2 Outstanding NVO3 Technology — VXLAN
	5.2 ARCHITECTURE OF VNS ON AN INTENT-DRIVEN CAMPUS NETWORK
		5.2.1 VN Architecture
		5.2.2 Roles of a VN
	5.3 TYPICAL VIRTUALIZATION SCENARIOS
		5.3.1 High-Tech Industrial Campus: One Network for Multiple Purposes Achieved through Network Virtualization
		5.3.2 Education Campus: Integrating Server Resources through Network Virtualization
		5.3.3 Commercial Building: Quick Service Provisioning through Network Virtualization
	5.4 VXLAN TECHNOLOGY BASICS
		5.4.1 Basic Concepts of VXLAN
		5.4.2 VXLAN Packet Format
	5.5 VXLAN CONTROL PLANE
		5.5.1 Understanding BGP EVPN
		5.5.2 VXLAN Tunnel Establishment
		5.5.3 Dynamic MAC Address Learning
	5.6 VXLAN DATA PLANE
		5.6.1 Intrasubnet Packet Forwarding
		5.6.2 Intersubnet Packet Forwarding
Chapter 6 Automated Service Deployment on an Intent-Driven Campus Network
	6.1 OVERVIEW OF INTENT-DRIVEN CAMPUS NETWORK AUTOMATION
	6.2 PHYSICAL NETWORK AUTOMATION
		6.2.1 Device Plug-and-Play
		6.2.2 Automatic Route Configuration
		6.2.3 Security Guarantee during Automation
	6.3 VIRTUAL NETWORK AUTOMATION
		6.3.1 Mapping between VNs and Resources
		6.3.2 Automated VN Deployment
	6.4 USER ACCESS AUTOMATION
		6.4.1 User Access Technology
		6.4.2 User Access Challenges and Solutions
		6.4.3 Automatic Access Configuration
		6.4.4 Automatic Account Management
		6.4.5 Automatic User Identity Identification
		6.4.6 Automatic User Policy Management
Chapter 7 Intelligent O&M on an Intent-Driven Campus Network
	7.1 GETTING STARTED WITH INTELLIGENT O&M
		7.1.1 Experience-Centric Proactive O&M
		7.1.2 Visualized Quality Evaluation System
	7.2 KEY TECHNOLOGIES USED FOR INTELLIGENT O&M
		7.2.1 Architecture of Intelligent O&M
		7.2.2 Data Collection Using Telemetry
		7.2.3 Audio and Video Quality Awareness Using eMDI
		7.2.4 Big Data and AI Processing Models
	7.3 INTELLIGENT O&M PRACTICES
		7.3.1 Real-Time Health Monitoring Based on KPIs
		7.3.2 Individual Fault Analysis
		7.3.3 Group Fault Analysis
		7.3.4 Big Data-Based Data Reports
	7.4 INTELLIGENT O&M OF WIRELESS NETWORKS
		7.4.1 Basic Radio Calibration
		7.4.2 Big Data-Based Intelligent Calibration
		7.4.3 Ubiquitous Mobile O&M
Chapter 8 E2E Network Security on an Intent-Driven Campus Network
	8.1 CAMPUS NETWORK SECURITY THREAT TRENDS AND CHALLENGES
		8.1.1 Network Security Threat Trends
		8.1.2 Traditional Security Defense Model Based on Security Zones
		8.1.3 APTs Compromise Traditional Security Defense Models
	8.2 CORE CONCEPTS AND OVERALL ARCHITECTURE OF BIG DATA-POWERED SECURITY COLLABORATION
		8.2.1 Core Concepts of Security Collaboration
		8.2.2 Overall Architecture of Security Collaboration
	8.3 INTELLIGENT SECURITY THREAT DETECTION BASED ON BIG DATA
		8.3.1 Big Data Analytics Process
		8.3.2 Principles of Big Data Analytics
		8.3.3 Efficiently Detecting Security Threats with Deep Machine Learning
	8.4 IDENTIFYING MALICIOUS ENCRYPTED TRAFFIC WITH ECA TECHNOLOGY
		8.4.1 Detecting Threats in Encrypted Traffic
		8.4.2 Logical Architecture of ECA Technology
		8.4.3 Working Principles of ECA Technology
		8.4.4 Data Characteristics Extracted by ECA Technology
	8.5 NETWORK DECEPTION TECHNOLOGY FOR PROACTIVE SECURITY DEFENSE
		8.5.1 Architecture and Principles of Network Deception Technology
		8.5.2 Network Obfuscation and Simulation Interaction
Chapter 9 Open Ecosystem for an Intent-Driven Campus Network
	9.1 DRIVING FORCE FOR AN OPEN CAMPUS NETWORK
	9.2 FULLY OPEN CAMPUS NETWORK ARCHITECTURE
		9.2.1 Intent-Driven Campus Network Openness
		9.2.2 Typical Openness Scenarios for an Intent-Driven Campus Network
	9.3 CONTINUOUS CONSTRUCTION OF THE CAMPUS NETWORK INDUSTRY ECOSYSTEM
		9.3.1 Intent-Driven Campus Ecosystem Solution Overview
		9.3.2 ESL Solution for Smart Retail
		9.3.3 Commercial Wi-Fi Solution for Smart Shopping Malls/Supermarkets
		9.3.4 UWB Positioning Solution for Industrial Intelligence
	9.4 JOINT INNOVATION BASED ON THE DEVELOPER COMMUNITY
		9.4.1 Introduction to the Developer Community
		9.4.2 Support and Service Provided by the Developer Community
Chapter 10 Intent-Driven Campus Network Deployment Practices
	10.1 CAMPUS NETWORK DESIGN METHODOLOGY
		10.1.1 Network Design Process
		10.1.2 Customer Requirements Survey and Analysis Guidelines
	10.2 INTENT-DRIVEN CAMPUS NETWORK DEPLOYMENT CASES
		10.2.1 Construction Objectives and Requirements Analysis
		10.2.2 Overall Network Planning
		10.2.3 Management Network and Deployment Mode Planning
		10.2.4 Underlay Network Planning
		10.2.5 Overlay Network Planning
		10.2.6 Egress Network Planning
		10.2.7 Service Deployment Planning
		10.2.8 SDN Controller Installation and Deployment Planning
		10.2.9 SDN Controller Configuration and Provisioning Process
Chapter 11 Huawei IT Best Practices
	11.1 DEVELOPMENT HISTORY OF HUAWEI IT
	11.2 CHALLENGES TO CAMPUS NETWORKS PRESENTED BY DIGITAL TRANSFORMATION
	11.3 HUAWEI SCENARIO-SPECIFIC CAMPUS NETWORK SOLUTIONS
		11.3.1 All-Scenario Wi-Fi: Covering Huawei’s Global Offices with Three SSIDs
		11.3.2 Free Mobility: Providing Consistent Service Experience for Huawei Employees
		11.3.3 Cloud Management Deployment: Supporting the Rapid Expansion of Huawei Device Stores
		11.3.4 Wi-Fi and IoT Convergence: Helping Huawei Campus Network Go Digital
		11.3.5 Intelligent O&M: Driving Huawei IT to Build a Proactive O&M System
	11.4 BRINGING DIGITAL TO EVERY CAMPUS
Chapter 12 Intent-Driven Campus Network Products
	12.1 INTENT-DRIVEN CAMPUS NETWORK PRODUCT OVERVIEW
	12.2 CLOUDENGINE S SERIES CAMPUS SWITCHES
	12.3 AIRENGINE SERIES WLAN PRODUCTS
		12.3.1 AirEngine Series WACs
		12.3.2 AirEngine Series Wireless APs
	12.4 NETENGINE AR SERIES BRANCH ROUTERS
	12.5 HISECENGINE USG SERIES ENTERPRISE SECURITY PRODUCTS
	12.6 IMASTER NCE-CAMPUS
	12.7 CIS SECURITY SITUATION AWARENESS SYSTEM
Chapter 13 Future Prospects of an Intent-Driven Campus Network
	13.1 INTELLIGENCE VISION FOR FUTURE CAMPUSES
	13.2 NETWORK TECHNOLOGY PROSPECTS FOR FUTURE CAMPUSES
ACRONYMS AND ABBREVIATIONS