Book Image

Internet of Things for Architects

By : Perry Lea
Book Image

Internet of Things for Architects

By: Perry Lea

Overview of this book

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is necessary 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 devices. This book encompasses the entire spectrum of IoT solutions, from sensors to the cloud. We start by examining modern sensor systems and focus on their power and functionality. After that, we dive deep into communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, we explore IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. Next, we cover edge routing and gateways and their role in fog computing, as well as the messaging protocols of MQTT and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. We wrap up the analytics portion of the book with the application of statistical analysis, complex event processing, and deep learning models. Finally, we conclude by providing a holistic view of the IoT security stack and the anatomical details of IoT exploits while countering them with software defined perimeters and blockchains.
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Free Chapter
1
The IoT Story

Chapter 11. Data Analytics and Machine Learning in the Cloud and in the Fog

The value of an IoT system is not a single sensor event, or a million sensor events archived away. A significant value of IoT is in the interpretation and decision made of that data. While a world of billions of things connected and communicating with each other and the cloud is well and good, the value lies in what is within the data, what is not in the data, and what the patterns of data tell us. This is the data science and data analytics portions of IoT, and probably the most valuable area for the customer. 

Analytics for the IoT segment deal with:

  • Structured data (SQL storage), a predictable format of data.
  • Unstructured data (raw video data or signals), a high degree of randomness and variance.
  • Semi-structured (Twitter feeds), some degree of variance and randomness in form.

Data also may need to be interpreted and analyzed in real time as a streaming dataflow, or it may be archived and retrieved for deep analytics...