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

Part 4 – Compute, analytics, and machine learning

At this point, we must consider what to do with the data streaming in from edge nodes into a cloud service. First, we begin by talking about the aspects of cloud architectures such as SaaS, IaaS, and PaaS systems. An architect needs to understand the data flow and typical design of cloud services (what they are and how they are used). We use OpenStack as a model of cloud design and explore the various components from ingestor engines to data lakes to analytics engines.

Understanding the constraints of cloud architectures is also important to make a good judgment on how a system will deploy and scale. An architect must also understand how latency can affect an IoT system. Alternatively, not everything belongs in the cloud. There is a measurable cost in moving all IoT data to a cloud versus processing it at the edge (edge processing) or extending cloud services downward into an edge computing device (fog computing...