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

You're reading from   Smarter Decisions - The Intersection of Internet of Things and Decision Science A comprehensive guide for solving IoT business problems using decision science

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Length 392 pages
Edition 1st Edition
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Author (1):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
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Table of Contents (10) Chapters Close

Preface 1. IoT and Decision Science FREE CHAPTER 2. Studying the IoT Problem Universe and Designing a Use Case 3. The What and Why - Using Exploratory Decision Science for IoT 4. Experimenting Predictive Analytics for IoT 5. Enhancing Predictive Analytics with Machine Learning for IoT 6. Fast track Decision Science with IoT 7. Prescriptive Science and Decision Making 8. Disruptions in IoT 9. A Promising Future with IoT

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...

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