AI-Driven Storage Optimization in Multi-Tenant Cloud Environments

Authors

  • Muthuraman Saminathan Independent Researcher, USA Author
  • Ravi Kumar Kota Topgolf Callaway Brands, USA Author
  • Ravi Kumar Burila JPMorgan Chase & Co, USA Author

Keywords:

Artificial Intelligence, cloud storage, multi-tenant environments

Abstract

This research paper aims to investigate the role of Artificial Intelligence (AI) in optimising storage in multi-tenant cloud environment and pointing out inefficiencies that contribute to raise infrastructure cost. Suboptimal data tiering, excessive data duplication, and poorly managed cache are some of the cloud inefficiencies which have major financial and operational implications. Intelligent data tiering, dynamic caching mechanisms, and advanced data deduplication Are some of the ai powered storage optimization techniques are explored as solution to the above-mentioned challenges.

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Published

14-12-2023

How to Cite

[1]
Muthuraman Saminathan, Ravi Kumar Kota, and Ravi Kumar Burila, “AI-Driven Storage Optimization in Multi-Tenant Cloud Environments”, Newark J. Hum. Centric AI Robot Inter., vol. 3, pp. 224–263, Dec. 2023, Accessed: Feb. 16, 2026. [Online]. Available: https://njhcair.org/index.php/publication/article/view/14