Significance of Fog Computing to Machine Learning-Enabled IoT for Smart Applications Across Industries-Reference-Cited by-同舟云学术

Significance of Fog Computing to Machine Learning-Enabled IoT for Smart Applications Across Industries

Published:2023-06-30 Issue: Volume: Page:202-231
ISSN:2327-3453
Container-title:Advances in Systems Analysis, Software Engineering, and High Performance Computing
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Author:

C. S. Mohan Raj¹,Kumar A. V. Senthil¹^ORCID,Sharma Meenakshi²^ORCID,El Emary Ibrahiem M. M.³,Latip Rohaya⁴,Khalid Saifullah⁵^ORCID,D. V. Chandrashekar⁶^ORCID

Affiliation:

1. Hindusthan College of Arts and Science, India

2. University of Petroleum and Energy Studies, India

3. King Abdulaziz University, Saudi Arabia

4. Universiti Putra Malaysia, Malaysia

5. Civil Aviation Research Organisation, India

6. T.J.P.S. College, India

Abstract

Industry 4.0 refers to the phase of transition that is taking place, enabling automation and data interchange in industrial technologies and processes. Fog computing architecture can provide real-time processing, nearby storage, extremely low latency, dependability, large data rates, and other requirements for industrial Internet of Things (IIoT) applications. In the context of IoT applications, fog infrastructure and protocols are the main areas of interest. The phrase “fog computing,” sometimes known “edge cloud,” is a new paradigm. Between edge devices and Cloud Core, it adds another layer. Along with providing computing, storage, and networking capabilities, it also fills a need left by the cloud. The main features of fog computing are covered in this chapter, along with current research on the subject and a focus on the difficulties encountered when creating its architectural design.

Publisher

IGI Global

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