RL for Real-Time Optimization, Green Migration, Semantic Integration via LLMs

Authors

  • Saravanan Palaniappan

Keywords:

Reinforcement Learning, Semantic Integration, Carbon-Aware Computing, Large Language Models, Cloud Migration, Multi-Agent Systems

Abstract

Cloud migration and data integration workflows face growing challenges related to increasinginfrastructure complexity, sustainability imperatives, and semantic interoperability across heterogeneous environments. Traditional orchestration

References

Abdul Hameed et al., "A survey and taxonomy on energy efficient resource allocation techniques for

cloud computing systems," Springer, 2014.

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Published

2025-11-27

How to Cite

Saravanan Palaniappan. (2025). RL for Real-Time Optimization, Green Migration, Semantic Integration via LLMs . Journal of Computational Analysis and Applications (JoCAAA), 34(11), 870–883. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4259

Issue

Vol. 34 No. 11 (2025): JOCAAA

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.