IoT and Edge Computing for Architects Second Edition

Implementing edge and IoT systems from sensors to clouds with communication systems, analytics, and security

Perry Lea 지음

Packt(GCO Science) 2020년 03월 06일 출간

작품소개

책소개

Learn to design, implement, and secure your IoT infrastructure. Revised and expanded for edge computing.

▶Book Description
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.

▶What You Will Learn
-Understand the role and scope of architecting a successful IoT deployment
-Scan the landscape of IoT technologies, from sensors to the cloud and more
-See the trade-offs in choices of protocols and communications in IoT deployments
-Become familiar with the terminology needed to work in the IoT space
-Broaden your skills in the multiple engineering domains necessary for the IoT architect
-Implement best practices to ensure reliability, scalability, and security in your IoT infrastructure

▶Key Features
-Build a complete IoT system that's the best fit for your organization
-Learn about different concepts, tech, and trade-offs in the IoT architectural stack
-Understand the theory and implementation of each element that comprises IoT design

▶Who This Book Is For
This book is for architects, system designers, technologists, and technology managers who want to understand the IoT ecosphere, technologies, and trade-offs, and develop a 50,000-foot view of IoT architecture. An understanding of the architectural side of IoT is necessary.

목차

▶TABLE of CONTENTS
- Chapter 1: IoT and Edge Computing Definition and Use Cases
- Chapter 2: IoT Architecture and Core IoT Modules
- Chapter 3: Sensors, Endpoints, and Power Systems
- Chapter 4: Communications and Information Theory
- Chapter 5: Non-IP Based WPAN
- Chapter 6: IP-Based WPAN and WLAN
- Chapter 7: Long-Range Communication Systems and Protocols (WAN)
- Chapter 8: Edge Computing
- Chapter 9: Edge Routing and Networking
- Chapter 10: Edge to Cloud Protocols
- Chapter 11: Cloud and Fog Topologies
- Chapter 12: Data Analytics and Machine Learning in the Cloud and Edge
- Chapter 13: IoT and Edge Security
- Chapter 14: Consortiums and Communities

책 속으로

▶What this book covers
- Chapter 1, IoT and Edge Computing Definition and Use Cases. We begin this book with an overall understanding of the IoT and edge market and separate hype from reality. We define IoT and edge computing and then uncover various use cases for enterprise, commercial, and industrial IoT solutions. We end the chapter with a case study to provide a full system architectural understanding and breakdown of a typical IoT system, from hardware to software to cloud.

- Chapter 2, IoT Architecture and Core IoT Modules. This chapter provides a high-level view and the breadth of the components and interconnects required to build an IoT or edge system. It will illustrate how the various components are interconnected and what roles they play. Additionally, this chapter will uncover how IoT deployments should be modeled from a value and monetization point of view.

- Chapter 3, Sensors, Endpoints, and Power Systems. Data begins its journey in IoT and edge computing at the sensors and physical devices. Here, we teach the various types of sensors and the physics that govern their abilities. We will show how sensors capture data and images and how they are powered when constant power sources are not available.

- Chapter 4, Communications and Information Theory. To understand many of the constraints and capabilities of wireless communication, we begin with the theory of communication and wireless radio signaling. We explore concepts such as path loss, RF interference, the Shannon-Hartley theorem, and bit-rate limits. We also look at RF spectrum governance and distribution.

- Chapter 5, Non-IP Based WPAN. Personal area networks include devices and systems that are near-range and have short distances between transmitters and receivers. This chapter goes into the breadth and depth of various protocols such as Bluetooth 5.1, Bluetooth beaconing, direction-finding technologies, and Bluetooth 5.0 mesh networking. We also explore other 802.15.4 protocols such as Zigbee and end with a treatment of Z-Wave.

- Chapter 6, IP-Based WPAN and WLAN. This chapter explores the use of TCP/IPbased communication for near-range and long-range communication. We explore architectures such as 6LoWPAN, Thread, and various 802.11 Wi-Fi protocols such as 802.11ac, 802.11p, and 802.11ah.

- Chapter 7, Long-Range Communication Systems and Protocols (WAN). Long-range communication is a prerequisite for moving data from the remote edge to where data centers, customers, and consumers are located. This chapter presents a thorough knowledge of long-range protocols, including the 4G LTE cellular and the new 5G cellular standards. We also explore alternative long-rang technologies such as CBRS, LoRa, Sigfox, and Multefire. We dive deep into how the technologies work and the features they offer in building a system.

- Chapter 8, Edge Computing. This chapter analyzes the hardware and software components needed to build edge-level computing infrastructures. This includes a deep understanding of hardware resources: processor architecture, memory, storage, physical enclosures, environmental hardening, and interconnects. It also examines software frameworks, operating systems, and middleware. Additionally, we study the use of virtualization and containers for edge management (including examples of Microsoft Azure IoT Edge).

- Chapter 9, Edge Routing and Networking. A common use of an edge system is to provide gateway, routing, and network security functions. This chapter teaches the methods of PAN-to-WAN bridging, cellular gateway functions, routing and traffic shaping, as well as security aspects such as software-defined networking and VPNs.

- Chapter 10, Edge to Cloud Protocols. This chapter explores the various methods and features of edge to cloud protocols over wide area networks such as MQTT 5, CoAP, AMQP, and HTTP as standard methods for data transport.
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▶ Preface
Edge computing and the Internet of Things (IoT) has migrated from hype to the mainstream. Organizations and industries require data to be gathered from objects and value and insight to be extracted from the information. Meanwhile, we are moving more processing and capabilities from data centers closer to data generation sources. A well-architected system requires multiple domains of expertise, from sensor physics and energy considerations to cloud-based data analytics strengths. We address the entire topology of IoT and edge computing in this book. Here, you will learn how interconnected each component is as a system. This covers telecommunications and radio signaling, embedded systems, long-range communication, network protocols, edge and cloud frameworks, holistic security, and cloud machine learning.

작가정보

저자(글) Perry Lea

Perry Lea is a 30-year veteran technologist. He spent over 20 years at Hewlett-Packard as chief architect and distinguished technologist of the LaserJet business. He then led a team at Micron focusing on emerging compute using in-memory processing for machine learning and computer vision. At Cradlepoint, he pivoted the company into 5G and the IoT. He then co-founded Rumble, an industry leader in edge/IoT products. He is the principal architect for Microsoft's Xbox business and works on emerging technologies and hyperscale game streaming, and has authored 40 patents, with 30 pending.