Book Image

Edge Computing Patterns for Solution Architects

By : Ashok Iyengar, Joseph Pearson
Book Image

Edge Computing Patterns for Solution Architects

By: Ashok Iyengar, Joseph Pearson

Overview of this book

Enriched with insights from a hyperscaler’s perspective, Edge Computing Patterns for Solution Architects will prepare you for seamless collaboration with communication service providers (CSPs) and device manufacturers and help you in making the pivotal choice between cloud-out and edge-in approaches. This book presents industry-specific use cases that shape tailored edge solutions, addressing non-functional requirements to unlock the potential of standard edge components. As you progress, you’ll navigate the archetypes of edge solution architecture from the basics to network edge and end-to-end configurations. You’ll also discover the weight of data and the power of automation for scale and immerse yourself in the edge mantra of low latency and high bandwidth, absorbing invaluable do's and don'ts from real-world experiences. Recommended practices, honed through practical insights, have also been added to guide you in mastering the dynamic realm of edge computing. By the end of this book, you'll have built a comprehensive understanding of edge concepts and terminology and be ready to traverse the evolving edge computing landscape.
Table of Contents (17 chapters)
Free Chapter
1
Part 1:Overview of Edge Computing as a Problem Space
4
Part 2: Solution Architecture Archetypes in Context
8
Part 3: Related Considerations and Concluding Thoughts

Industrial edge scenario

This scenario was briefly discussed in Chapter 4. Many enterprises continue to use 4G or Wi-Fi connectivity within their premises, but many devices rely on wired connectivity. For example, industrial systems continue to use PLCs because they are ruggedized, reliable, and cost-effective. PLCs and human-machine interfaces (HMIs) are being combined with edge computing technologies to provide better control and analytics. Nowadays, edge controllers, as shown in Figure 5.3, are providing PLC functions and more by way of monitoring applications and optimizing energy usage:

Figure 5.3 – Example edge controller augmenting PLC system

Figure 5.3 – Example edge controller augmenting PLC system

Figure 5.3 shows the components of an edge controller. The traditional control logic engine continues to run on a real-time operating system (RTOS) because they are very efficient and provide predictable latencies, meaning function calls are guaranteed to return within a specific timeframe. Both RTOS...