Machine Learning Techniques for Resource Management: A Survey Study
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.
Keywords
machine learning (ml); resource management; virtual machines (vms); deep learning (dl); reinforcement learning (rl); artificial intelligence (ai); heterogeneous networks (hetnets)
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Details
Volume
1
Issue
1
Pages
9-19
ISSN
2974-9840
Hadiel Elshaik, Salaheldin Edam
"Machine Learning Techniques for Resource Management: A Survey Study".
Journal of Intelligent Systems and Applied Data Science,
vol: 1,
No. 1
Jul. 2023, pp: 9-19,
https://scholar9.com/publication-detail/machine-learning-techniques-for-resource-managemen--33857