Modernizing Global Payment Architectures Through Large-Scale Migration of Legacy Compute to Container Platforms
Keywords:
Payment Architecture, Migration, Container Platform, Legacy, ModernizationAbstract
In this paper, the authors conduct research on the benefits of using container-based deployment, especially in terms of enhancing the performance, speed, and reliability of financial web platforms compared to the usage of virtual machines. The experiment involved in the study is a quantitative one, namely the deployment time, latency, throughput, CPU usage, and recovery time. The findings indicate that containers minimize delays, enhance stability under heavy load in the system as well as use less resources. It is also in the paper that the use of automated tools and controlled testing environment are described to aid in measuring real system behaviour. In general, these results indicate that containers can be used to have the expedited and expediency monetary frameworks, particularly those services requiring a high rate of accessibility, prompt expansion, and dependable execution.
Downloads
References
Taibi, D., Lenarduzzi, V., & Pahl, C. (2018). Architectural Patterns for Microservices: A Systematic Mapping Study. Proceedings of the 8th International Conference on Cloud Computing and Services Science (CLOSER 2018). https://doi.org/10.5220/0006798302210232
Tapia, F., Mora, M. Á., Fuertes, W., Aules, H., Flores, E., & Toulkeridis, T. (2020). From Monolithic Systems to Microservices: A Comparative Study of performance. Applied Sciences, 10(17), 5797. https://doi.org/10.3390/app10175797
Puliafito, C., Vallati, C., Mingozzi, E., Merlino, G., Longo, F., & Puliafito, A. (2019). Container Migration in the Fog: A Performance Evaluation. Sensors, 19(7), 1488. https://doi.org/10.3390/s19071488
Govindaraj, K., & Artemenko, A. (2018). Container Live Migration for Latency Critical Industrial Applications on Edge Computing. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 83–90. https://doi.org/10.1109/etfa.2018.8502659
Jamshidi, P., Ahmad, A., & Pahl, C. (2013). Cloud Migration Research: A Systematic Review. IEEE Transactions on Cloud Computing, 1(2), 142–157. https://doi.org/10.1109/tcc.2013.10
Hannousse, A., Yahiouche, S., Hannousse, A., & Yahiouche, S. (2021). Securing microservices and microservice architectures: A systematic mapping study. Computer Science Review, 41, 100415. https://doi.org/10.1016/j.cosrev.2021.100415
Pahl, C., & Jamshidi, P. (2016). Microservices: A Systematic Mapping Study. CLOSER 2016: Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 1 and 2. https://doi.org/10.5220/0005785501370146
He, T., Toosi, A. N., & Buyya, R. (2019). Performance evaluation of live virtual machine migration in SDN-enabled cloud data centers. Journal of Parallel and Distributed Computing, 131, 55–68. https://doi.org/10.1016/j.jpdc.2019.04.014
Cherukuri, N. B. R. (2020). Microservices and containerization: Accelerating web development cycles. World Journal of Advanced Research and Reviews, 6(1), 283–296. https://doi.org/10.30574/wjarr.2020.6.1.0087
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.


