Multi-Agent Reinforcement Learning for Efficient Cloud Resource Utilization

Kwame, Mensah and Nikolai, Ivanov (2025) Multi-Agent Reinforcement Learning for Efficient Cloud Resource Utilization. Innovative: International Multi-disciplinary Journal of Applied Technology, 3 (3). pp. 19-35. ISSN 2995-486X

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Abstract

Cloud computing has revolutionized modern IT infrastructure by offering scalable and on-demand resource provisioning. However, the dynamic nature of cloud workloads presents significant challenges in efficient resource allocation, often leading to underutilization, service delays, and increased operational costs. Traditional load balancing techniques struggle to adapt to real-time workload fluctuations. To address this, Multi-Agent Reinforcement Learning (MARL) has emerged as a powerful approach for optimizing cloud resource management.

Item Type:	Article
Subjects:	Q Science > Q Science (General)
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	10 Mar 2025 11:20
Last Modified:	10 Mar 2025 11:20
URI:	http://eprints.umsida.ac.id/id/eprint/15808

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