Intelligent Load Balancing in Cloud Computing With Reinforcement Learning

Hassan, Rahmani and Charlotte, Brown (2025) Intelligent Load Balancing in Cloud Computing With Reinforcement Learning. Web of Semantics: Journal of Interdisciplinary Science, 3 (3). pp. 1-21. ISSN 2960-9550

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Abstract

Cloud computing has revolutionized modern computing by providing on-demand, scalable, and cost-effective resources. However, efficient load balancing remains a critical challenge, as improper resource allocation can lead to performance bottlenecks, increased latency, and reduced system reliability. Traditional load-balancing algorithms, such as round-robin and least connections, often fail to adapt dynamically to changing workloads and complex cloud environments. To address these limitations, this paper explores intelligent load balancing in cloud computing using reinforcement learning (RL).

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Postgraduate > Master's of Islamic Education
Depositing User:	Journal Editor
Date Deposited:	10 Mar 2025 11:35
Last Modified:	10 Mar 2025 11:35
URI:	http://eprints.umsida.ac.id/id/eprint/15811

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