Research on Operational Process Optimization Strategy during Cloud Service Migration

Authors

  • Fangyuan Li Amazon Web Services, Inc., AWS Global Sales, Washington, 98121, USA Author

DOI:

https://doi.org/10.71222/7f95nt71

Keywords:

cloud service migration, operation process, artificial intelligence, process optimization, automatic choreography

Abstract

The cloud service migration of enterprises has begun to rely on digital transformation, but in the process of transformation, there may be problems such as disorganization of operational processes, slow response and poor coordination of systems. This paper mainly discusses how artificial intelligence can be applied to process identification, decision analysis, resource allocation and system coordination, and further describes the importance of virtualization technology, data synchronization mechanism and automatic arrangement strategy, proposes to take intelligence as the main line to improve migration rate and intelligent operation, and gives suggestions for enterprises to achieve effective and stable cloud operation architecture.

References

1. S. Yoo, Y. Kim, H. Park, J. Hwang, and K. Kim, "enCloud: Aspect-oriented trusted service migration on SGX-enabled cloud VM," Softw. Pract. Exp., vol. 54, no. 12, pp. 2454-2480, 2024, doi: 10.1002/spe.3357.

2. A. Mahmud and N. Sarvar, "Structure and principle of operation of the apparatus for introducing chlorine into the process pipeline," in E3S Web Conf., vol. 525, p. 02011, May 2024, doi: 10.1051/e3sconf/202452502011.

3. F. Rizkianto, K. Oshita, R. Homma, and M. Takaoka, "Effective lipid extraction from fat balls using liquefied dimethyl ether: Process optimization with a Box-Behnken design," ACS Omega, vol. 9, no. 32, pp. 34859-34868, 2024, doi: 10.1021/acsomega.4c04005.

4. J. Kasawapat, A. Khamwichit, and W. Dechapanya, "Waste-to-energy conversion of rubberwood residues for enhanced bio-mass fuels: Process optimization and eco-efficiency evaluation," Energies, vol. 17, no. 21, p. 5444, 2024, doi: 10.3390/en17215444.

5. C. Mandal, M. Jaiswal, S. J. D. Bosco, et al., "Process optimization for ultrasound and microwave-assisted phytonutrients ex-tractions from Averrhoa carambola fruit," Biomass Convers. Bioref., vol. 14, pp. 18253-18265, 2024, doi: 10.1007/s13399-023-04031-0.

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Published

27 April 2025

Issue

Section

Article

How to Cite

Li, F. (2025). Research on Operational Process Optimization Strategy during Cloud Service Migration. Journal of Computer, Signal, and System Research, 2(3), 83-89. https://doi.org/10.71222/7f95nt71