Book Image

Smarter Decisions - The Intersection of Internet of Things and Decision Science

By : Jojo Moolayil
Book Image

Smarter Decisions - The Intersection of Internet of Things and Decision Science

By: Jojo Moolayil

Overview of this book

With an increasing number of devices getting connected to the Internet, massive amounts of data are being generated that can be used for analysis. This book helps you to understand Internet of Things in depth and decision science, and solve business use cases. With IoT, the frequency and impact of the problem is huge. Addressing a problem with such a huge impact requires a very structured approach. The entire journey of addressing the problem by defining it, designing the solution, and executing it using decision science is articulated in this book through engaging and easy-to-understand business use cases. You will get a detailed understanding of IoT, decision science, and the art of solving a business problem in IoT through decision science. By the end of this book, you’ll have an understanding of the complex aspects of decision making in IoT and will be able to take that knowledge with you onto whatever project calls for it
Table of Contents (15 chapters)
Smarter Decisions – The Intersection of Internet of Things and Decision Science
Credits
About the Author
About the Reviewer
eBooks, discount offers, and more
Preface

Edge/fog computing


The topic of fog computing has been getting a lot of traction in recent years. The concept has been in the research and experimental phase for quite some time, but with the recent growth of IoT, edge computing has starting evolving from the "Innovation Trigger" phase to the "Peak of inflated expectation" phase (referring to Gartner's Hype cycle). The edge computing concept got such phenomenal traction that Cisco coined the term fog computing as an inspiration from the legacy architecture of cloud computing.

Let's understand the fog computing concept in layman terms.

Edge computing/fog computing is an architecture where the computing of data, applications, and services is pushed away from the centralized cloud to the logical extremes of the network, that is, the edge. This approach requires leveraging resources that may not be continuously connected to a network such as laptops, smartphones, tablets, home appliances, manufacturing industrial machines, sensors, and so on...