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AI-Driven Resource Allocation: Revolutionizing Cloud Infrastructure Management

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  • Sushant Sood

Abstract

This comprehensive article examines the transformative impact of artificial intelligence on cloud resource management, exploring the evolution from traditional static allocation methods to dynamic, AI-driven approaches. The article investigates core technologies, including machine learning models and real-time decision-making frameworks, while evaluating their applications across virtual machine provisioning, container orchestration, and multi-cloud environments. Through detailed case studies of e-commerce platforms and video streaming services, the article demonstrates significant improvements in resource utilization, cost optimization, and service reliability. The article further addresses technical and operational challenges, including model overhead and system complexity, providing insights into the implementation considerations for organizations adopting AI-driven cloud management solutions.

Suggested Citation

  • Sushant Sood, 2025. "AI-Driven Resource Allocation: Revolutionizing Cloud Infrastructure Management," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 1652-1662, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:832
    DOI: 10.32628/CSEIT251112194
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT251112194
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