Scalable Architecture for the Internet of Things

Preface

The Internet of Things (IoT) is heralded as the fourth industrial internet, and participate in machine-to-machine and machine-to-person use cases on a massive scale. The common trait of all these IoT use cases is to efficiently handle the following essential jobs: connecting and managing billions of devices, transferring data over the network, storing data, and processing data. Apparently, data has a central place, so we may freely announce that IoT is data-driven. Computing associated with data is there to squeeze out knowledge, and provide the ability to automate many aspects of our environment. The objective is to deliver new value-added business services that were not possible before.

Any cutting-edge technology/paradigm, like IoT, is surrounded by a vivid, dynamic, and growing community. The participants seek to gain knowledge and experience in the novel domain. The interrelated environment is permeated with various overlapping technological alternatives that are frequently accompanied by hype. It isn’t surprising then to encounter terms like Massive IoT, Industrial IoT, Critical IoT, Web of Things (WoT), and Internet of Everything (IoE). Furthermore, we encounter stuff like digitization on one hand, and Invisible Computing, Transparent Computing, Edge Computing, and Fog Computing on the other (these are some of the most popular phrases). Our aim is to find a common denominator among these elements, rather than delve into a convoluted elaboration of how to properly ...