International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

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

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.

AI-Driven Optimization Strategies In Cloud Computing: A Comprehensive Review

Author(s) Atharva Subandha, Sahil Pathan, Pratiksha Parkhe
Country India
Abstract This study explores the use of artificial intelligence (AI) techniques to enhance cloud resource management through methods such as dynamic scaling, automated provisioning, and intelligent workload distribution. The research concludes with recommendations for future advancements aimed at sustainable and efficient cloud resource utilization.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-04-08
Cite This AI-Driven Optimization Strategies In Cloud Computing: A Comprehensive Review - Atharva Subandha, Sahil Pathan, Pratiksha Parkhe - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.3426
DOI https://doi.org/10.71097/IJSAT.v16.i2.3426
Short DOI https://doi.org/g9fcgh

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