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

Fog computing


Fog computing is the evolutionary extension of cloud computing at the edge. This section details the difference between Fog and Edge computing and provides the various topologies and the 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 functions are applied to local data. The shuffle step redistributes the data as needed. This is a critical step as the system attempts to collocate all dependent data to one node. The final step is the reduce phase, where the processing across all the nodes occurs in parallel. 

The general takeaway here is that MapReduce attempts to bring...