REFERENCES

1. Ameh B. Digital tools and AI: Using technology to monitor carbon emissions and waste at each stage of the supply chain, enabling real-timeadjustments for sustainability improvements. Int J Sci Res Arch. 2024;13(1):2741–2754

2. Agrawal, R., Kiernan, J., Srikant, R., &Xu, Y. (2004), “Order preserving encryption for numeric data”, Proceedings of SIGMOD, pp. 563–574.

3. Bouakouk MR, Abdelli A, Mokdad L (2020) Taxonomy and architectures of cloud-IoT paradigms: a survey. In: 2020 IEEE Computer and Communications Symposium (ISCC). Rennes, IEEE, pp. 1-6

4. D. Andročec, N. Vrček, P. Kungas, “Service-Level Interoperability Issues of Platform as a Service”, Proceedings of the IEEE 11th World Congress on Services, New York City, New York, USA, 27 June - 2 July 2015, pp. 349–356.

5. El-(2014) Gazzar RF a survey of the literature on the problems with enterprise cloud computing adoption. In: Nielsen PA, Bergvall-Kåreborn B, eds. Using IT to create value for everyone. Berlin Heidelberg: Springer, pp. 214–242

6. Li, Q., Zhang, S., & Chen, Y. (2023). A cost-benefit analysis of cloud adoption for SMEs: Implications for future development. International Journal of Cloud Applications and Computing, 12(2), 88-102.

7. Nguyen, T., Singh, R., & Kumar, P. (2023). Ensuring data confidentiality and integrity in cloud storage systems. IEEE Transactions on Cloud Computing, 11(1), 44-58.

8. Singh, A., & Gupta, M. (2022). Energy efficiency optimization in cloud data centers using machine learning algorithms. Journal of Green Computing, 19(4), 217-232

9. Sharma D.K., Patidar M., et al. “An efficient design and demonstration of fault-effects in full-adder circuits based on quantum-dot computing circuits” Elsevier ScienceDirect, Material Today Proceedings Journal (2023)

Cite this Article as: Yameen M (2025), “Evolution of Cloud Computing from Storage to Cloud-Native Applications: A Study”, International Journal of Education & Applied Sciences Research, Volume 12, Issue 2, 2025, pp 58-65 DOI : https://doi.org/10.5281/zenodo.19689001

REFERENCES

1. Ameh B. Digital tools and AI: Using technology to monitor carbon emissions and waste at each stage of the supply chain, enabling real-timeadjustments for sustainability improvements. Int J Sci Res Arch. 2024;13(1):2741–2754

2. Agrawal, R., Kiernan, J., Srikant, R., &Xu, Y. (2004), “Order preserving encryption for numeric data”, Proceedings of SIGMOD, pp. 563–574.

3. Bouakouk MR, Abdelli A, Mokdad L (2020) Taxonomy and architectures of cloud-IoT paradigms: a survey. In: 2020 IEEE Computer and Communications Symposium (ISCC). Rennes, IEEE, pp. 1-6

4. D. Andročec, N. Vrček, P. Kungas, “Service-Level Interoperability Issues of Platform as a Service”, Proceedings of the IEEE 11th World Congress on Services, New York City, New York, USA, 27 June - 2 July 2015, pp. 349–356.

5. El-(2014) Gazzar RF a survey of the literature on the problems with enterprise cloud computing adoption. In: Nielsen PA, Bergvall-Kåreborn B, eds. Using IT to create value for everyone. Berlin Heidelberg: Springer, pp. 214–242

6. Li, Q., Zhang, S., & Chen, Y. (2023). A cost-benefit analysis of cloud adoption for SMEs: Implications for future development. International Journal of Cloud Applications and Computing, 12(2), 88-102.

7. Nguyen, T., Singh, R., & Kumar, P. (2023). Ensuring data confidentiality and integrity in cloud storage systems. IEEE Transactions on Cloud Computing, 11(1), 44-58.

8. Singh, A., & Gupta, M. (2022). Energy efficiency optimization in cloud data centers using machine learning algorithms. Journal of Green Computing, 19(4), 217-232

9. Sharma D.K., Patidar M., et al. “An efficient design and demonstration of fault-effects in full-adder circuits based on quantum-dot computing circuits” Elsevier ScienceDirect, Material Today Proceedings Journal (2023)