Understanding Infrastructure Edge Computing

Understanding Infrastructure Edge Computing
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A comprehensive review of the key emerging technologies that will directly impact areas of computer technology over the next five years Infrastructure edge computing is the model of data center and network infrastructure deployment which distributes a large number of physically small data centers around an area to deliver better performance and to enable new economical applications. It is vital for those operating at business or technical levels to be positioned to capitalize on the changes that will occur as a result of infrastructure edge computing. Understanding Infrastructure Edge Computing provides a thorough understanding of the growth of internet infrastructure from its inception to the emergence of infrastructure edge computing. Author Alex Marcham, an acknowledged leader in the field who coined the term infrastructure edge computing presents an accessible, accurate, and expansive view of the next generation of internet infrastructure. The book features illustrative examples of 5G mobile cellular networks, city-scale AI systems, self-driving cars, drones, industrial robots, and more—technologies that increase efficiency, save time and money, and improve safety. Covering state-of-the-art topics, this timely and authoritative book: Presents a clear and accurate survey of the key emerging technologies that will impact data centers, 5G networks, artificial intelligence and cyber-physical systems, and other areas of computer technology Explores how and why Internet infrastructure has evolved to where it stands today and where it needs to be in the near future Covers a wide range of topics including distributed application workload operation, infrastructure and application security, and related technologies such as multi-access edge computing (MEC) and fog computing Provides numerous use cases and examples of real-world applications which depend upon underlying edge infrastructure Written for Information technology practitioners, computer technology practitioners, and students, Understanding Infrastructure Edge Computing is essential reading for those looking to benefit from the coming changes in computer technology in the near future.

Оглавление

Alex Marcham. Understanding Infrastructure Edge Computing

Table of Contents

List of Tables

List of Illustrations

Guide

Pages

Understanding Infrastructure Edge Computing. Concepts, Technologies and Considerations

Preface. How to Use This Book

About This Book

Audience

About the Author

Acknowledgements

1 Introduction

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

2.4.1.1 The First Act of the Internet

2.4.1.2 The Second Act of the Internet

2.4.1.3 The 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

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

3.6.3.1 Switching

3.6.3.2 Network Boundaries

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

References

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

References

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

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

6.2.2.1 Size Category 1 (<1 kW)

6.2.2.2 Size Category 2 (1–10 kW)

6.2.2.3 Size Category 3 (10–50 kW)

6.2.2.4 Size Category 4 (50–100 kW)

6.2.2.5 Size Category 5 (100–200 kW)

6.2.2.6 Size Category 6 (200–250 kW)

6.2.2.7 Size Category Interoperation

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

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

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

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

References

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

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

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

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

14 Use Case Example : 5G. 14.1 Overview

14.2 What Is 5G?

14.2.1 5G New Radio (NR)

14.2.1.1 Remote Radio Unit (RRU)

14.2.1.2 Distributed Unit (DU)

14.2.1.3 Centralised Unit (CU)

14.2.1.4 Functional Splits

14.2.2 5G Core Network (CN)

14.2.2.1 User Plane Function (UPF)

14.2.2.2 Control Plane

14.3 5G at the Infrastructure Edge

14.3.1 Benefits

14.3.2 Architecture

14.3.3 Considerations

14.4 Summary

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

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

Reference

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

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

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

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

21 Conclusion

Appendix A Acronyms and Abbreviations

Index. a

b

c

d

e

f

g

i

j

l

m

n

o

p

q

r

s

t

u

v

w

x

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Alex Marcham

.....

Finally, let’s examine what this same use case looks like with the introduction of infrastructure edge computing. A single IEDC has been added to our previous topology, with its location being in between the user’s device and the RNDC. In addition the IEDC is interconnected with the last mile network which the device is connected to, and is connected back to the RNDC. These two elements are crucial to ensure optimal network connectivity, and they will be explored further in the next chapter.

In this case, the application has access to three sets of resources in increasing degrees of the total potential resources available: the device itself, the IEDC, and the RNDC. As can be seen in Figure 2.5, these resources are physically located in a gradient from the device in the user’s hand to a national data centre which may be thousands of miles away. The IEDC is optimally located no more than 15 miles away from the user to minimise latency while still being able to support the dense resources that are required by the application; in this way, the IEDC is able to support the needs of the application in the same way as an RNDC but from a physical location that is much closer to the end user. This blend of characteristics shows the power of the optimal infrastructure edge computing deployment, where an edge data centre can provide a low latency comparable to the device itself, with the back‐end muscle of the larger scale data centre.

.....

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