A Deep Q-Learning Framework for Enhanced QoE and Energy Optimization in Fog Computing-Reference-Cited by-同舟云学术

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A Deep Q-Learning Framework for Enhanced QoE and Energy Optimization in Fog Computing

Published:2024-04-29 Issue: Volume:5 Page:669-676
ISSN:
Container-title:2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
language:
Short-container-title:

Author:

Sumona Sabiha Tasnim¹,Sabbir Hasan Syed¹,Tamzid Abu Yousuf¹,Roy Palash¹,Razzaque Md. Abdur²,Mahmud Redowan³

Affiliation:

1. Green University of Bangladesh,Department of Computer Science and Engineering,Dhaka,Bangladesh

2. University of Dhaka,Green Networking Research Group,Department of Computer Science and Engineering,Bangladesh

3. Curtin University,School of Electrical Engineering, Computing and Mathematical Sciences,Australia

Funder

Green University

University of Dhaka

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621442/10621052/10621454.pdf?arnumber=10621454

Reference19 articles.

1. Role of Emerging IoT Big Data and Cloud Computing for Real Time Application

2. Fog-Embedded Deep Learning for the Internet of Things

3. Resource allocation in fog computing: A review;Ahmed;International Journal of Science and Business,2021

4. Energy-Aware Resource Scheduling in FoG Environment for IoT-Based Applications

5. Quality of Experience (QoE)-aware placement of applications in Fog computing environments

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