Paper Title

Machine Learning Techniques for Resource Management: A Survey Study

Authors

Hadiel Elshaik

Salaheldin Edam

Keywords

machine learning (ml); resource management; virtual machines (vms); deep learning (dl); reinforcement learning (rl); artificial intelligence (ai); heterogeneous networks (hetnets)

Article Type

Survey Article

Journal

Journal of Intelligent Systems and Applied Data Science

Issue

Volume : 1 | Issue : 1 | Page No : 9-19

Published On

July, 2023

Downloads

FULL PDF

CITATION

COPY LINK

Abstract

Abstract :The study's objective was to use machine learning techniques to provide an overview of resource management issues. In order to demonstrate how resource management machine learning algorithms function, the study uses a qualitative methodology. The results showed that the efficient deployment of very heterogeneous IoT networks depends on resource management, among other aspects of network administration. In conclusion, IoT networks struggle with resource allocation in addition to having to decide how to manage resources based on various contexts and situations.