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)
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Index

Fog computing

Fog computing is the evolutionary extension of cloud computing at the edge. Fog represents a system-level horizontal architecture that distributes resources and services across a network fabric. These services and resources include storage components, computing devices, networking functions, and so on. The nodes can be located anywhere between the cloud and the "things" (sensors). This section details the difference between fog and edge computing and provides the various topologies and architectural references for fog computing.

The Hadoop philosophy for fog computing

Fog computing draws its analogy from the success of Hadoop and MapReduce, and to better understand the importance of fog computing, it is worth taking some time to think about how Hadoop works. MapReduce is a method of mapping, and Hadoop is an open source framework based on the MapReduce algorithm.

MapReduce has three steps: map, shuffle, and reduce. In the map phase, computing...