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DOI: 10.14569/IJACSA.2024.0151170
PDF

A Gradient Technique-Based Adaptive Multi-Agent Cloud-Based Hybrid Optimization Algorithm

Author 1: Mohammad Nadeem Ahmed
Author 2: Mohammad Rashid Hussain
Author 3: Mohammad Husain
Author 4: Abdulaziz M Alshahrani
Author 5: Imran Mohd Khan
Author 6: Arshad Ali

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 15 Issue 11, 2024.

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Abstract: Efficient virtual machine (VM) movement and task scheduling are crucial for optimal resource utilization and system performance in cloud computing. This paper introduces AMS-DDPG, a novel approach combining Deep Deterministic Policy Gradient (DDPG) with Adaptive Multi-Agent strategies to enhance resource allocation. To further refine AMS-DDPG's performance, we propose ICWRS, which integrates WSO (Workload Sensitivity Optimization) and RSO (Resource Sensitivity Optimization) techniques for parameter fine-tuning. Experimental evaluations demonstrate that ICWRS-enabled AMS-DDPG significantly outperforms traditional methods, achieving a 25% improvement in resource utilization and a 30% reduction in task completion time, thereby enhancing overall system efficiency. By merging nature-inspired optimization techniques with deep reinforcement learning, our research offers innovative solutions to the challenges of cloud resource allocation. Future work will explore additional optimization methods to further advance cloud system performance.

Keywords: Adaptive multi-agent; cloud-based; hybrid optimization; task scheduling; virtual machine migration; gradient technique

Mohammad Nadeem Ahmed, Mohammad Rashid Hussain, Mohammad Husain, Abdulaziz M Alshahrani, Imran Mohd Khan and Arshad Ali, “A Gradient Technique-Based Adaptive Multi-Agent Cloud-Based Hybrid Optimization Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 15(11), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151170

@article{Ahmed2024,
title = {A Gradient Technique-Based Adaptive Multi-Agent Cloud-Based Hybrid Optimization Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151170},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151170},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {11},
author = {Mohammad Nadeem Ahmed and Mohammad Rashid Hussain and Mohammad Husain and Abdulaziz M Alshahrani and Imran Mohd Khan and Arshad Ali}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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