AI-Driven Metadata Intelligence and SLA-Aware Framework for Resilient Cloud Migration
Keywords:
Cloud Migration Framework, Metadata Governance, Service Level Alignment, Orchestration Resilience, Artificial Intelligence, Machine LearningAbstract
Cloud migration is fraught with ongoing challenges in orchestration, metadata management, andalignment at the service level that compromise enterprise transformation efforts. This framework tacklessystematic failures using three integrated pillars of combining AI-driven metadata intelligence, SLAaware design, and orchestration resiliency. The AI-enabled metadata intelligence pillar uses supervised ensemble learning with significantly
References
A. Gaikwad, "Cloud Migration Challenges for Project Managers in Enterprise Environments: A Comprehensive Study", International Journal of Research Publication and Reviews, 2024. [Online]. DOI: https://doi.org/10.55248/gengpi.5.0824.2126
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Published
2026-01-16
How to Cite
Thananjayan Kasi. (2026). AI-Driven Metadata Intelligence and SLA-Aware Framework for Resilient Cloud Migration. Journal of Computational Analysis and Applications (JoCAAA), 35(1), 295–315. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4693
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