Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization

Authors

  • Mahender Singh Author

DOI:

https://doi.org/10.48047/nrh7me39

Keywords:

Self-healing systems, cloud computing, quantum annealing, artificial intelligence, fault detection, automated recovery, multi-cloud environments.

Abstract

The integration of Artificial Intelligence (AI) with quantum optimization techniques, particularly quantum annealing, offers a promising pathway to enhance the resilience and efficiency of cloud infrastructures. This paper explores the application of quantum annealing to optimize AI algorithms for real-time fault detection and automated recovery in multi-cloud systems. 

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References

Coronado, E., Behravesh, R., Subramanya, T., Fernandez-Fernandez, A., Siddiqui, M. S., Costa-Perez, X., & Riggio, R. (2022). Zero Touch Management: A survey of network automation solutions for 5G and 6G networks. IEEE Communications Surveys & Tutorials, 24(4), 2535–2578. https://doi.org/10.1109/comst.2022.3212586

De Alwis, C., Kalla, A., Pham, Q., Kumar, P., Dev, K., Hwang, W., & Liyanage, M. (2021). Survey on 6G frontiers: trends, applications, requirements, technologies and future research. IEEE Open Journal of the Communications https://doi.org/10.1109/ojcoms.2021.3071496

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Published

2024-12-15

How to Cite

Self-Healing Cloud Infrastructures via Al-Driven Quantum Optimization (Mahender Singh , Trans.). (2024). Cuestiones De Fisioterapia, 53(03), 2387-2406. https://doi.org/10.48047/nrh7me39