DEVELOPMENT RESOURCE UTILIZATION SOFTWARE WITH EDGE AI AND GUESSING ENTROPY

Authors

  • Nadia Mahmoud Hussein Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq
  • Yasmin Makki Mohialden Department of Computer Science, College of Science, Mustansiriyah University, Baghdad, Iraq
  • Majd S. Ahmed
  • Abbas Akram Khorsheed

Keywords:

Edge AI, guessing entropy, resource management, operating system efficiency, simulation, user behavior prediction, resource allocation, Windows OS.

Abstract

The rapid advancement of technology has led to an increasing demand for efficient resource management in operating systems. This project introduces an innovative approach to enhance the effectiveness of Windows operating systems by synergistically utilizing edge AI prediction and guessing entropy techniques. An Edge AI model predicts user behavior based on real-time system metrics while Guessing Entropy further refines these predictions, resulting in optimized resource allocation. This paper outlines the problem statement, objectives, and methodology for the development of this resource management tool.

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Published

2023-09-20

How to Cite

Nadia Mahmoud Hussein, Yasmin Makki Mohialden, Majd S. Ahmed, & Abbas Akram Khorsheed. (2023). DEVELOPMENT RESOURCE UTILIZATION SOFTWARE WITH EDGE AI AND GUESSING ENTROPY. European Journal of Interdisciplinary Research and Development , 19, 49–61. Retrieved from https://ejird.journalspark.org/index.php/ejird/article/view/771

Issue

Vol. 19 (2023)

Section

Articles

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