Book Image

IoT and Edge Computing for Architects - Second Edition

By : Perry Lea
Book Image

IoT and Edge Computing for Architects - Second Edition

By: Perry Lea

Overview of this book

Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices. IoT and Edge Computing for Architects, Second Edition encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.
Table of Contents (17 chapters)
15
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16
Index

Summary

Edge computing is a broad space that requires the discipline of both the computer engineer and computer scientist (as well the network administrator, business manager, and security professional) to build a robust solution. In this chapter, we learned about edge uses cases and definitions and how they map from embedded systems to designs analogous to data centers on the edge. It is also imperative to understand the hardware architecture of the edge machine as a start.

We dove deep into the silicon and processor architectures and which types of architectures are relevant for various edge computing problems. There is also the consideration of the physical device and how it will be protected in a remote and unsupervised area. Next comes the software and operating system design. Building a robust and reliable system on the edge means the software needs to be self-managing, lean, and reliable. We explored ways to tune the edge surface area to reduce the upkeep, image size,...