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Strategies and Methodologies for Building High- Performance Web Applications
Gokul Ramakrishnan
Pages - 46 - 51     |    Revised - 31-05-2025     |    Published - 30-06-2025
Published in International Journal of Software Engineering (IJSE)
Volume - 12   Issue - 3    |    Publication Date - June 2025  Table of Contents
MORE INFORMATION
References   |   Abstracting & Indexing
KEYWORDS
Front-End Web Technology, Load Balancing, Microservices Architecture, Performance Optimization.
ABSTRACT
Modern web applications are generally more and more based on real-time interaction to improve their user engagement. The alignment of the front-end interactivity with large-scale backend systems is one of the main ones. This paper examines the implementation of real-time technologies like WebSockets and Server-Sent Events with Node.js and databases like MySQL, MongoDB, and Redis. It is looking into approaches such as load balancing, cache, and database replication to load system performance. An abstracted version of synchronizing the front-end with the back-end infrastructure of a distributed nature is described. The results indicate how improved optimizations of these will grant performance. The paper winds up with the issues and speculated enhancements for the integration of real-time front-end and reliable backend.
REFERENCES
Barolli, L. (Ed.). (2025). Advanced Information Networking and Applications: Proceedings of the 39th International Conference on Advanced Information Networking and Applications (AINA-2025), Volume 4. Springer. https://doi.org/10.1007/978-3-031-87772-8SpringerLink+1SpringerLink+1.
Bass, L., Weber, I., & Zhu, L. (2018). Foundations of scalable software architectures. IEEE Software, 35(5), 65-73. https://doi.org/10.1109/MS.2018.290110711.
Hamlich, M., Dornaika, F., Ordonez, C., Bellatreche, L., & Moutachaouik, H. (Eds.). (2024). Smart Applications and Data Analysis: 5th International Conference, SADASC 2024, Tangier, Morocco, April 18-20, 2024, Proceedings, Part II. Springer. https://doi.org/10.1007/978-3-031-77043-2.
Lee, H., Kim, Y., & Park, J. (2020). Scalable real-time system design using preemption thresholds. IEEE Transactions on Industrial Informatics, 16(6), 1992-2001. https://doi.org/10.1109/TII.2020.2974702.
Ortiz, G., Boubeta-Puig, J., Criado, J., Corral-Plaza, D., Garcia-de-Prado, A., Medina-Bulo, I., & Iribarne, L. (2024). A microservice architecture for real-time IoT data processing: A reusable Web of things approach for smart ports. arXiv preprint arXiv:2401.15390. https://arxiv.org/abs/2401.15390.
Rausch, T., Schlebusch, J., & Dustdar, S. (2021). RT.js: Practical real-time scheduling for web applications. IEEE Journal on Selected Areas in Communications, 39(4), 870-880. https://doi.org/10.1109/JSAC.2021.3052962.
Xu, W., Zhang, H., & Liu, Y. (2023). Building an accessible, usable, scalable, and sustainable service for scholarly big data. IEEE Transactions on Big Data, 9(1), 250-260. https://doi.org/10.1109/TBDATA.2023.3246547.
MANUSCRIPT AUTHORS
Mr. Gokul Ramakrishnan
Palo Alto Networks - United States of America
ramakrishnan.go@northeastern.edu


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