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)
Other Books You May Enjoy

Edge use cases

Edge systems are collocated as shown in the preceding figure, close to where data is generated or people are located. Currently, about 20% of data in enterprises is collected outside of corporate walls. Gartner predicts that by 2023 up to 75% of corporate and enterprise data will be collected and managed by systems outside the physical borders of enterprise IT and data centers.

Edge computing serves four primary usage patterns:

  • Reduced latency: Edge systems can be placed closer to end users and services. This naturally can avoid various network hops and propagation. Certain latency-sensitive applications, such as cloud-based gaming and video streaming, have strict real-time latency and performance requirements. This also includes devices that need real-time decision-making or the execution of rules engines for safety-critical machinery.
  • Bandwidth preservation: Certain environments have limited bandwidth to and/or from the edge system. In other...