Architectural Foundations and Performance Implications of Low-Latency Web APIs in Edge-Centric High-Transaction Mobile Systems

Authors

  • Markus L. Reinhardt Faculty of Electrical Engineering, Mathematics and Computer Science Delft University of Technology, Netherlands Author

Keywords:

d Low-latency web APIs, edge computing, mobile augmented reality, high-transaction systems

Abstract

The continuous evolution of mobile computing, augmented reality systems, and machine-type communications has intensified the demand for web architectures capable of sustaining extremely high transaction volumes under strict latency constraints. Contemporary applications such as mobile augmented reality, distributed crowdsensing, industrial automation, and massive machine-type communications require end-to-end responsiveness that traditional centralized cloud paradigms struggle to guarantee. This research article develops a comprehensive theoretical and methodological examination of low-latency web application programming interfaces deployed in high-transaction environments, with particular emphasis on edge computing, containerized infrastructures, and mobile network integration. Building upon recent benchmarking-oriented insights into low-latency web API design (Valiveti, 2025), the study situates web-layer optimizations within a broader socio-technical ecosystem involving mobile offloading architectures, edge standards, feedback-controlled container orchestration, and next-generation radio access technologies. Through an extensive qualitative methodology grounded in architectural reasoning and comparative literature analysis, the article interprets how latency-sensitive APIs interact with computation offloading, network scheduling, and decentralized execution models. The results highlight that latency minimization is not a property of isolated software components but an emergent outcome of tightly coupled design decisions spanning protocol layers, deployment topology, and adaptive control mechanisms. The discussion advances a critical synthesis of competing scholarly viewpoints, addressing tensions between standardization and innovation, centralization and decentralization, and determinism and adaptability. By articulating limitations inherent in current design approaches and proposing theoretically grounded directions for future research, this article contributes a holistic academic perspective on the role of low-latency web APIs as enabling infrastructures for next-generation mobile and edge-enabled systems.

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References

Ali, S., Rajatheva, N., Saad, W. Fast uplink grant for machine type communications: Challenges and opportunities. IEEE Communications Magazine, 57(3), 2019, 97–103.

Baresi, L., Guinea, S., Mendonca, D. F. A3droid: A framework for developing distributed crowdsensing. Proceedings of the IEEE International Conference on Pervasive Computing and Communication Workshops, 2016.

Valiveti, S. S. Low-Latency Web APIs in High-Transaction Systems: Design and Benchmarking. International Journal of Computational and Experimental Science and Engineering, 11(3), 2025. https://doi.org/10.22399/ijcesen.3646

3GPP TS 36.321. Evolved UTRA medium access control protocol specification, 2015.

Ismail, B. I., Goortani, E. M., Karim, M. B. A., Tat, W. M., Setapa, S., Luke, J. Y., Hoe, O. H. Evaluation of docker as edge computing platform. Proceedings of the IEEE Conference on Open Systems, 2015.

Wagner, D., Schmalstieg, D., Bischof, H. Multiple target detection and tracking with guaranteed framerates on mobile phones. IEEE International Symposium on Mixed and Augmented Reality, 2009.

Sill, A. Standards at the edge of the cloud. IEEE Cloud Computing, 4(2), 2017, 63–67.

Rodriguez-Santana, B. G., Viveros, A. M., Carvajal-Gamez, B. E., Trejo-Osorio, D. C. Mobile computation offloading architecture for mobile augmented reality. International Journal of Advanced Computer Science and Applications, 1(7), 2016.

Barfield, W. Fundamentals of wearable computers and augmented reality. CRC Press, 2015.

Baresi, L., Guinea, S., Leva, A., Quattrocchi, G. A discrete-time feedback controller for containerized cloud applications. Proceedings of the ACM SIGSOFT Symposium on Foundations of Software Engineering, 2016.

Nokia Siemens Networks, Intel. Increasing mobile operators value proposition with edge computing. 2013.

Abase, A. H., Khafagy, M. H., Omara, F. A. Locality sim: Cloud simulator with data locality. International Journal on Cloud Computing Services and Architecture, 6, 2016.

Huang, B. R., Lin, C. H., Lee, C. H. Mobile augmented reality based on cloud computing. Anti-counterfeiting, Security, and Identification, 2012.

de Lara, E., Gomes, C. S., Langridge, S., Mortazavi, S. H., Roodi, M. Hierarchical serverless computing for the mobile edge. IEEE ACM Symposium on Edge Computing, 2016.

5G Alliance for Connected Industries and Automation. 5G for connected industries and automation. White paper, 2019.

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Published

2026-01-31

How to Cite

Architectural Foundations and Performance Implications of Low-Latency Web APIs in Edge-Centric High-Transaction Mobile Systems . (2026). EuroLexis Research Index of International Multidisciplinary Journal for Research & Development, 13(01), 1072-1077. https://researchcitations.org/index.php/elriijmrd/article/view/84

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