Edge Computing and Cloud Integration in Financial Services: Optimizing Latency and Security

Authors

  • Dr. Nina Fernandez Royal Academy of Social Sciences, United Kingdom Author

DOI:

https://doi.org/10.63282/3050-9246.IJETCSIT-V3I3P102

Keywords:

Edge computing, Cloud computing, Financial services, Latency optimization, Security enhancement, Real-time processing, High-frequency trading, Fraud detection, Data privacy, Cybersecurity

Abstract

The integration of edge computing and cloud computing in financial services presents a transformative opportunity to optimize latency and enhance security. This paper explores the theoretical and practical aspects of this integration, focusing on how edge computing can complement cloud computing to address the unique challenges faced by the financial sector. We examine the technological foundations, current applications, and future prospects of edge-cloud integration, supported by empirical data and case studies. The paper also delves into the security implications and proposes a framework for secure and efficient edgecloud architectures in financial services

Downloads

Download data is not yet available.

References

[1] M. Satyanarayanan, "The Emergence of Edge Computing," Computer, vol. 50, no. 1, pp. 30-39, 2017.

[2] S. K. Ghrayeb, "Cloud Computing in Financial Services: Challenges and Opportunities," Journal of Financial Technology, vol. 12, no. 3, pp. 215-230, 2018.

[3] R. Buyya, "Cloud Computing: Principles and Paradigms," John Wiley & Sons, 2011.

[4] J. F. Kephart and D. M. Chess, "The Vision of Autonomic Computing," Computer, vol. 36, no. 1, pp. 41-50, 2003.

[5] A. K. Sangaiah, "Edge Computing for Smart Healthcare: A Review," Journal of Medical Systems, vol. 43, no. 5, pp. 1-15, 2019.

[6] P. Kulkarni, "High-Frequency Trading and Latency: A Review," Journal of Financial Markets, vol. 22, no. 4, pp. 345-360, 2017.

[7] T. Chen, "Real-Time Fraud Detection in Financial Services," IEEE Transactions on Information Forensics and Security, vol. 14, no. 9, pp. 2345-2356, 2019.

[8] S. S. Iyengar, "Mobile Banking and Edge Computing: A Synergistic Approach," Journal of Mobile Technology, vol. 10, no. 2, pp. 123-135, 2020.

[9] J. Zhang, "Data Privacy in Edge Computing: Challenges and Solutions," IEEE Transactions on Cloud Computing, vol. 8, no. 3, pp. 789-800, 2020.

[10] M. R. Lyu, "Cybersecurity in Edge Computing: A Comprehensive Review," Journal of Network and Computer Applications, vol. 157, no. 1, pp. 1-18, 2020.

[11] Nucleus Software. Edge computing: Supporting digital transformation in financial services. Retrieved from https://www.nucleussoftware.com/resources/article/edge-computing-supporting-digital-transformation-in-financial-services/

[12] TechTarget. Edge computing: Definition and key concepts. Retrieved from https://www.techtarget.com/searchdatacenter/definition/edge-computing

Published

2022-09-12

Issue

Section

Articles

How to Cite

1.
Fernandez N. Edge Computing and Cloud Integration in Financial Services: Optimizing Latency and Security. IJETCSIT [Internet]. 2022 Sep. 12 [cited 2025 Sep. 13];3(3):10-7. Available from: https://www.ijetcsit.org/index.php/ijetcsit/article/view/65

Similar Articles

31-40 of 254

You may also start an advanced similarity search for this article.