Campus network architectures and technologies / Ningguo Shen, Bin Yu, Mingxiang Huang, Hailin Xu.
"This book begins by describing the service challenges facing campus networks, and then details the intent-driven campus network architectures and technologies of Huawei Cloud Campus Solution. After reading this book, you will have a comprehensive understanding of next-generation campus network...
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Format: | eBook |
Language: | English |
Published: |
Boca Raton :
CRC Press,
2021.
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Edition: | First edition. |
Subjects: |
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245 | 1 | 0 | |a Campus network architectures and technologies / |c Ningguo Shen, Bin Yu, Mingxiang Huang, Hailin Xu. |
250 | |a First edition. | ||
264 | 1 | |a Boca Raton : |b CRC Press, |c 2021. | |
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505 | 0 | |a 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. | |
505 | 8 | |a 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. | |
505 | 8 | |a 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. | |
505 | 8 | |a 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. | |
505 | 8 | |a 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. | |
520 | |a "This book begins by describing the service challenges facing campus networks, and then details the intent-driven campus network architectures and technologies of Huawei Cloud Campus Solution. After reading this book, you will have a comprehensive understanding of next-generation campus network solutions, technical implementations, planning, design, and other know-how. Leveraging Huawei's years of technical expertise and practices in the campus network field, this book systematically describes the use of technical solutions such as virtualization, big data, AI, and SDN in campus networks. With this informative description, you will be able to quickly and efficiently reconstruct campus networks. In addition, this book provides detailed suggestions for campus network design and deployment based on Huawei's extensive project implementation experience, assisting with the construction of automated and intelligent campus networks required to cope with challenges. This is a practical, informative, and easy-to-understand guide for learning about and designing campus networks. It is intended for network planning engineers, network technical support engineers, network administrators, and enthusiasts of campus network technologies"-- |c Provided by publisher. | ||
588 | 0 | |a Print version record and CIP data provided by publisher. | |
610 | 2 | 0 | |a Hua wei ji shu you xian gong si |x Data processing. |
650 | 0 | |a Computer network architectures. |0 http://id.loc.gov/authorities/subjects/sh86007468. | |
650 | 0 | |a Metropolitan area networks (Computer networks) |0 http://id.loc.gov/authorities/subjects/sh91003211. | |
650 | 0 | |a Local area networks (Computer networks) |0 http://id.loc.gov/authorities/subjects/sh85077909. | |
610 | 2 | 7 | |a Hua wei ji shu you xian gong si. |2 fast |0 (OCoLC)fst01759274. |
650 | 7 | |a Computer network architectures. |2 fast |0 (OCoLC)fst00872277. | |
650 | 7 | |a Electronic data processing. |2 fast |0 (OCoLC)fst00906956. | |
650 | 7 | |a Local area networks (Computer networks) |2 fast |0 (OCoLC)fst01001200. | |
650 | 7 | |a Metropolitan area networks (Computer networks) |2 fast |0 (OCoLC)fst01018847. | |
776 | 0 | 8 | |i Print version: |a Shen, Ningguo. |t Campus network architectures and technologies. |b First edition. |d Boca Raton : CRC Press, 2021 |z 9780367695743 |w (DLC) 2020048778. |
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