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Distributed Intelligence Platform to the Edge Computing

Distributed Intelligence Platform to the Edge Computing
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Author(s): Xalphonse Inbaraj (PACE Institute of Technology and Sciences, India)
Copyright: 2020
Pages: 23
Source title: Architecture and Security Issues in Fog Computing Applications
Source Author(s)/Editor(s): Sam Goundar (The University of the South Pacific, Fiji), S. Bharath Bhushan (Sree Vidyanikethan Engineering College, India) and Praveen Kumar Rayani (National Institute of Technology, Durgapur, India)
DOI: 10.4018/978-1-7998-0194-8.ch007


View Distributed Intelligence Platform to the Edge Computing on the publisher's website for pricing and purchasing information.


With the explosion of information, devices, and interactions, cloud design on its own cannot handle the flow of data. While the cloud provides us access to compute, storage, and even connectivity that we can access easily and cost-effectively, these centralized resources can create delays and performance issues for devices and information that are far from a centralized public cloud or information center source. Internet of things-connected devices are a transparent use for edge computing architecture. In this chapter, the author discusses the main differences between edge, fog, and cloud computing; pros and cons; and various applications, namely, smart cars and traffic control in transportation scenario, visual and surveillance security, connected vehicle, and smart ID card.

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