Understanding infrastructure edge computing : concepts, technologies, and considerations / Alex Marcham.

Format:

Book

Author/Creator:

Marcham, Alex, author.

Language:

English

Subjects (All):

Edge computing.

Physical Description:

1 online resource (354 pages)

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., [2021]

Summary:

"This book is intended to provide the reader with a thorough understanding of the growth in internet infrastructure since its inception, through to the emerging set of technologies known as infrastructure edge computing which progress this trend to its next generation. Infrastructure edge computing is the term coined by the author (and now accepted by the Linux Foundation and their LF Edge group, as well as much of the industry) for a model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to provide users with superior performance than is achievable today, to enable a range of new use cases in an economical fashion. These use cases include 5G (Fifth Generation) mobile cellular networks, city-scale AI (Artificial Intelligence) systems which can help us work and play more effectively by automating many time-consuming tasks, and cyber-physical systems such as self-driving cars, drones and industrial robotics systems to save time, save money and improve safety. To provide the reader with a full understanding of the subject, the book will cover several topics from today?s state of the art to how the infrastructure edge computing model alters that to the key technologies underpinning its deployment and operation, through to the use cases which it will support that are impractical or impossible on current infrastructure. The end result is to provide the reader with a thorough, accessible and accurate understanding of the next generation of internet infrastructure as a whole"-- Provided by publisher.

Contents:

Cover

Title Page

Copyright Page

Contents

Preface

About the Author

Acknowledgements

Chapter 1 Introduction

Chapter 2 What Is Edge Computing?

2.1 Overview

2.2 Defining the Terminology

2.3 Where Is the Edge?

2.3.1 A Tale of Many Edges

2.3.2 Infrastructure Edge

2.3.3 Device Edge

2.4 A Brief History

2.4.1 Third Act of the Internet

2.4.2 Network Regionalisation

2.4.3 CDNs and Early Examples

2.5 Why Edge Computing?

2.5.1 Latency

2.5.2 Data Gravity

2.5.3 Data Velocity

2.5.4 Transport Cost

2.5.5 Locality

2.6 Basic Edge Computing Operation

2.7 Summary

References

Chapter 3 Introduction to Network Technology

3.1 Overview

3.2 Structure of the Internet

3.2.1 1970s

3.2.2 1990s

3.2.3 2010s

3.2.4 2020s

3.2.5 Change over Time

3.3 The OSI Model

3.3.1 Layer 1

3.3.2 Layer 2

3.3.3 Layer 3

3.3.4 Layer 4

3.3.5 Layers 5, 6, and 7

3.4 Ethernet

3.5 IPv4 and IPv6

3.6 Routing and Switching

3.6.1 Routing

3.6.2 Routing Protocols

3.6.3 Routing Process

3.7 LAN, MAN, and WAN

3.8 Interconnection and Exchange

3.9 Fronthaul, Backhaul, and Midhaul

3.10 Last Mile or Access Networks

3.11 Network Transport and Transit

3.12 Serve Transit Fail (STF) Metric

3.13 Summary

Chapter 4 Introduction to Data Centre Technology

4.1 Overview

4.2 Physical Size and Design

4.3 Cooling and Power Efficiency

4.4 Airflow Design

4.5 Power Distribution

4.6 Redundancy and Resiliency

4.7 Environmental Control

4.8 Data Centre Network Design

4.9 Information Technology (IT) Equipment Capacity

4.10 Data Centre Operation

4.10.1 Notification

4.10.2 Security

4.10.3 Equipment Deployment

4.10.4 Service Offerings

4.10.5 Managed Colocation

4.11 Data Centre Deployment

4.11.1 Deployment Costing.

4.11.2 Brownfield and Greenfield Sites

4.11.3 Other Factors

4.12 Summary

Chapter 5 Infrastructure Edge Computing Networks

5.1 Overview

5.2 Network Connectivity and Coverage Area

5.3 Network Topology

5.3.1 Full Mesh

5.3.2 Partial Mesh

5.3.3 Hub and Spoke

5.3.4 Ring

5.3.5 Tree

5.3.6 Optimal Topology

5.3.7 Inter-area Connectivity

5.4 Transmission Medium

5.4.1 Fibre

5.4.2 Copper

5.4.3 Wireless

5.5 Scaling and Tiered Network Architecture

5.6 Other Considerations

5.7 Summary

Chapter 6 Infrastructure Edge Data Centres

6.1 Overview

6.2 Physical Size and Design

6.2.1 Defining an Infrastructure Edge Data Centre

6.2.2 Size Categories

6.3 Heating and Cooling

6.4 Airflow Design

6.4.1 Traditional Designs

6.4.2 Non-traditional Designs

6.5 Power Distribution

6.6 Redundancy and Resiliency

6.6.1 Electrical Power Delivery and Generation

6.6.2 Network Connectivity

6.6.3 Cooling Systems

6.6.4 Market Design

6.6.5 Redundancy Certification

6.6.6 Software Service Resiliency

6.6.7 Physical Redundancy

6.6.8 System Resiliency Example

6.7 Environmental Control

6.8 Data Centre Network Design

6.9 Information Technology (IT) Equipment Capacity

6.9.1 Operational Headroom

6.10 Data Centre Operation

6.10.1 Site Automation

6.10.2 Single or Multi-tenant

6.10.3 Neutral Host

6.10.4 Network Operations Centre (NOC)

6.11 Brownfield and Greenfield Sites

6.12 Summary

Chapter 7 Interconnection and Edge Exchange

7.1 Overview

7.2 Access or Last Mile Network Interconnection

7.3 Backhaul and Midhaul Network Interconnection

7.4 Internet Exchange

7.5 Edge Exchange

7.6 Interconnection Network Technology

7.6.1 5G Networks

7.6.2 4G Networks

7.6.3 Cable Networks

7.6.4 Fibre Networks

7.6.5 Other Networks.

7.6.6 Meet Me Room (MMR)

7.6.7 Cross Connection

7.6.8 Virtual Cross Connection

7.6.9 Interconnection as a Resource

7.7 Peering

7.8 Cloud On-ramps

7.9 Beneficial Impact

7.9.1 Latency

7.9.2 Data Transport Cost

7.9.3 Platform Benefit

7.10 Alternatives to Interconnection

7.11 Business Arrangements

7.12 Summary

Chapter 8 Infrastructure Edge Computing Deployment

8.1 Overview

8.2 Physical Facilities

8.3 Site Locations

8.3.1 kW per kM2

8.3.2 Customer Facility Selection

8.3.3 Site Characteristics

8.4 Coverage Areas

8.5 Points of Interest

8.6 Codes and Regulations

8.7 Summary

Chapter 9 Computing Systems at the Infrastructure Edge

9.1 Overview

9.2 What Is Suitable?

9.3 Equipment Hardening

9.4 Rack Densification

9.4.1 Heterogenous Servers

9.4.2 Processor Densification

9.4.3 Supporting Equipment

9.5 Parallel Accelerators

9.5.1 Field Programmable Gate Arrays (FPGAs)

9.5.2 Tensor Processing Units (TPUs)

9.5.3 Graphics Processing Units (GPUs)

9.5.4 Smart Network Interface Cards (NICs)

9.5.5 Cryptographic Accelerators

9.5.6 Other Accelerators

9.5.7 FPGA, TPU, or GPU?

9.6 Ideal Infrastructure

9.6.1 Network Compute Utilisation

9.7 Adapting Legacy Infrastructure

9.8 Summary

Chapter 10 Multi-tier Device, Data Centre, and Network Resources

10.1 Overview

10.2 Multi-tier Resources

10.3 Multi-tier Applications

10.4 Core to Edge Applications

10.5 Edge to Core Applications

10.6 Infrastructure Edge and Device Edge Interoperation

10.7 Summary

Chapter 11 Distributed Application Workload Operation

11.1 Overview

11.2 Microservices

11.3 Redundancy and Resiliency

11.4 Multi-site Operation

11.5 Workload Orchestration

11.5.1 Processing Requirements

11.5.2 Data Storage Requirements.

11.5.3 Network Performance Requirements

11.5.4 Application Workload Cost Profile

11.5.5 Redundancy and Resiliency Requirements

11.5.6 Resource Marketplaces

11.5.7 Workload Requirement Declaration

11.6 Infrastructure Visibility

11.7 Summary

Chapter 12 Infrastructure and Application Security

12.1 Overview

12.2 Threat Modelling

12.3 Physical Security

12.4 Logical Security

12.5 Common Security Issues

12.5.1 Staff

12.5.2 Visitors

12.5.3 Network Attacks

12.6 Application Security

12.7 Security Policy

12.8 Summary

Chapter 13 Related Technologies

13.1 Overview

13.2 Multi-access Edge Computing (MEC)

13.3 Internet of Things (IoT) and Industrial Internet of Things (IIoT)

13.4 Fog and Mist Computing

13.5 Summary

Reference

Chapter 14 Use Case Example: 5G

14.1 Overview

14.2 What Is 5G?

14.2.1 5G New Radio (NR)

14.2.2 5G Core Network (CN)

14.3 5G at the Infrastructure Edge

14.3.1 Benefits

14.3.2 Architecture

14.3.3 Considerations

14.4 Summary

Chapter 15 Use Case Example: Distributed AI

15.1 Overview

15.2 What Is AI?

15.2.1 Machine Learning (ML)

15.2.2 Deep Learning (DL)

15.3 AI at the Infrastructure Edge

15.3.1 Benefits

15.3.2 Architecture

15.3.3 Considerations

15.4 Summary

Chapter 16 Use Case Example: Cyber-physical Systems

16.1 Overview

16.2 What Are Cyber-physical Systems?

16.2.1 Autonomous Vehicles

16.2.2 Drones

16.2.3 Robotics

16.2.4 Other Use Cases

16.3 Cyber-physical Systems at the Infrastructure Edge

16.3.1 Benefits

16.3.2 Architecture

16.3.3 Considerations

16.4 Summary

Chapter 17 Use Case Example: Public or Private Cloud

17.1 Overview

17.2 What Is Cloud Computing?

17.2.1 Public Clouds

17.2.2 Private Clouds

17.2.3 Hybrid Clouds

17.2.4 Edge Cloud.

17.3 Cloud Computing at the Infrastructure Edge

17.3.1 Benefits

17.3.2 Architecture

17.3.3 Considerations

17.4 Summary

Chapter 18 Other Infrastructure Edge Computing Use Cases

18.1 Overview

18.2 Near Premises Services

18.3 Video Surveillance

18.4 SD-WAN

18.5 Security Services

18.6 Video Conferencing

18.7 Content Delivery

18.8 Other Use Cases

18.9 Summary

Chapter 19 End to End: An Infrastructure Edge Project Example

19.1 Overview

19.2 Defining Requirements

19.2.1 Deciding on a Use Case

19.2.2 Determining Deployment Locations

19.2.3 Identifying Required Equipment

19.2.4 Choosing an Infrastructure Edge Computing Network Operator

19.2.5 Regional or National Data Centres

19.3 Success Criteria

19.4 Comparing Costs

19.5 Alternative Options

19.6 Initial Deployment

19.7 Ongoing Operation

19.7.1 SLA Breaches

19.8 Project Conclusion

19.9 Summary

Chapter 20 The Future of Infrastructure Edge Computing

20.1 Overview

20.2 Today and Tomorrow

20.3 The Next Five Years

20.4 The Next 10 Years

20.5 Summary

Chapter 21 Conclusion

Appendix A Acronyms and Abbreviations

Index

EULA.

Notes:

Description based on print version record.

ISBN:

9781119763246

111976324X

9781119763253

1119763258

9781119763260

1119763266

OCLC:

1246548626