Machine Learning Techniques for Resource Management: A Survey Study

Authors

  • Hadeil Elshaikh Students
  • Salaheldin Edam

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.

Downloads

Published

2023-07-15

Issue

Vol. 1 No. 1 (2023): Journal of Intelligent Systems and applied data science (JISADS)

Section

For Authors

License

You are free to:

  1. Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
  2. Adapt — remix, transform, and build upon the material for any purpose, even commercially.
  3. The licensor cannot revoke these freedoms as long as you follow the license terms.

Under the following terms:

  1. Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
  2. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .

No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.