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

Collecting, analyzing, and acting upon data and deriving meaningful conclusions from a sensor is the goal of IoT. When we scale to thousands or to millions and potentially billions of objects communicating and streaming data nonstop, we have to introduce advanced tools to ingest, store, marshal, analyze, and predict meaning from this sea of data. Cloud computing is one element in enabling that service in the form of clusters of scalable hardware and software. Fog computing brings cloud processing closer to the edge to resolve issues with latency, security, and communication costs. Both technologies work together to run analytics packages in the form of rules engines with complex event processing agents. Choosing the model of cloud providers, frameworks, fog nodes, and analytics modules is a significant task and much literature goes deep into the semantics of programming and building these services. An architect must understand the topology and the end goal of the system to...