
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
2025
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AI-Driven Optimization Strategies In Cloud Computing: A Comprehensive Review
Author(s) | Atharva Subandha, Sahil Pathan, Pratiksha Parkhe |
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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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