Modernizing Global Payment Architectures Through Large-Scale Migration of Legacy Compute to Container Platforms

Authors

  • Kaushik Ponnapally

Keywords:

Payment Architecture, Migration, Container Platform, Legacy, Modernization

Abstract

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.

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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

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Published

31.01.2022

How to Cite

Kaushik Ponnapally. (2022). Modernizing Global Payment Architectures Through Large-Scale Migration of Legacy Compute to Container Platforms. International Journal of Intelligent Systems and Applications in Engineering, 10(1s), 451–459. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7991

Issue

Section

Research Article