International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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AI-Driven Cloud Resource Management and Optimization

Author(s) Jasmeet Kaur, Neha Agrawal, Chhaya Porwal, Shrishti Gupta, Puja Gupta
Country India
Abstract The introduction of cloud computing has brought about a revolution in the management and exploitation of information technology resources, making it possible for businesses to grow their operations in a manner that is both dynamic and efficient. On the other hand, the complexities involved in efficiently managing cloud resources provide considerable hurdles, especially with regard to effectively optimizing both cost and performance. The purpose of this article is to study the possibilities of incorporating Artificial Intelligence (AI) into cloud resource management. More specifically, the research will concentrate on different optimization strategies that might improve overall performance, lower operating costs, and increase resource allocation. The applications of artificial intelligence algorithms in real-time resource management are investigated via the examination of these algorithms, which include machine learning, deep learning, and reinforcement learning. According to the results, AI-driven approaches have the potential to dramatically increase cloud efficiency and scalability, hence opening the way for future advancements and research in this field.
Keywords Cloud Computing; Artificial Intelligence; Resource Management; Optimization; Machine Learning.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-14
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63274
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E-ISSN 2582-2160
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