Deep Learning and Fog Computing: A Review Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem

Deep Learning and Fog Computing: A Review

Author (s)

Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem

Abstract

­Fog computing (FC) is a new architecture that aims to reduce network pressures throughout the core network as well as the cloud computing (CC) by bringing resource-intensive functions like computation, analytics, connectivity, also storage, nearest to the clients. In their operations, FC systems can make use of intelligence features to reap the benefits of data that is readily accessible with computing resources to be able to resolve the problem of excessive energy use with power for Internet-of-Things (IoT) apps that require speed. It generates large volumes of data, prompting the creation of a growing number of FC apps and services. Furthermore, Deep Learning (DL), an important field, has made significant progress in a variety of research areas, including robotics, face recognition, neuromorphic computing, decision-making, computer graphics, and speech recognition. Several studies have been suggested to look at how to use DL to solve FC issues. DL has become more common these days to improve FC apps as well as provide fog services such as security, resource management, accuracy, delay, and energy reduction, cost, data processing, and traffic modeling. The current review paper will focus on how to provide an overview of DL functions throughout the FC sector. The DL implementation for FC has evolved into powerful clients with services at the highest level, allowing for deeper analytics and mission answers that are more intelligent.

 Keywords: Internet of Things (IoT), cloud computing, fog computing.

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Title: Deep Learning and Fog Computing: A Review
Author: Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem
Journal Name: International Journal of Science and Business
Website: ijsab.com
ISSN: ISSN 2520-4750 (Online), ISSN 2521-3040 (Print)
DOI: https://doi.org/10.5281/zenodo.5222647
Media: Online
Volume: 5
Issue: 6
Acceptance Date: 29/05/2021
Date of Publication: 19/08/2021
PDF URL: https://ijsab.com/wp-content/uploads/756.pdf
Free download: Available
Page: 197-208
First Page: 197
Last Page: 208
Paper Type: Literature review
Current Status: Published

 

Cite This Article:

Shavan Askar, Zhala Jameel Hamad, Shahab Wahhab Kareem (2021). Deep Learning and Fog Computing: A Review. International Journal of Science and Business, 5(6), 197-208. doi: https://doi.org/10.5281/zenodo.5222647

Retrieved from https://ijsab.com/wp-content/uploads/756.pdf

 

About Author (s)

Shavan Askar (Corresponding Author), Assistant Professor, CEO of Arcella Telecom, College of Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: shavan.askar@epu.edu.iq

Zhala Jameel Hamad, Information System Engineering, Erbil Polytechnic University, Erbil, Iraq. Email: zhalla.mei20@epu.edu.iq

Shahab Wahhab Kareem, Lecturer, Erbil Polytechnic University, Erbil, Iraq.

 

 

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DOI: https://doi.org/10.5281/zenodo.5222647

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