Integrating Cloud and Edge Computing Architectures for Scalable, Low-Latency, and Intelligent Service Delivery in Distributed Systems
Keywords:
Edge computing, cloud computing, distributed systems, latency, intelligent services, hybrid architecture, scalability.Abstract
With the explosive growth of latency-sensitive and data-intensive applications—such as autonomous vehicles, remote surgery, and IoT-based monitoring—traditional cloud computing architectures are increasingly insufficient in meeting performance requirements. Edge computing, by processing data closer to the data source, has emerged as a complement to the cloud, enabling low-latency and context-aware services. This paper proposes a hybrid cloud–edge computing integration model that combines the scalability of cloud platforms with the low-latency benefits of edge computing. We analyze architectural considerations, integration challenges, and deployment frameworks, and we present a comparative analysis of system performance across hybrid, cloud-only, and edge-only models. The paper also outlines strategies for workload distribution and AI integration in distributed environments
References
(1) Abbas, N., Zhang, Y., Taherkordi, A., & Skeie, T. (2020). Mobile edge computing: A survey. IEEE Internet of Things Journal, 5(1), 450–465. https://doi.org/10.1109/JIOT.2017.2750180
(2) Ijiyemi, P.O., Akomeah, K.B., Donkor, N., Antwi, I.K., Akwei, E., Ogundojutimi, O., & Katere, E. (2025). Intelligent Model for Business Governance and Financial Growth Optimization. IOSR Journal of Business and Management (IOSR-JBM), 27(8, Ser. 4), 1–11. https://doi.org/10.9790/487X-2708040111
(3) Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2017). The case for VM-based cloudlets in mobile computing. IEEE Pervasive Computing, 8(4), 14–23. https://doi.org/10.1109/MPRV.2009.82
(4) Ogundojutimi, O., Akwei, E., & Antwi, I.K. (2025). Predicting cybersecurity risk in healthcare pharmacy infrastructures. Global Journal of Cyber Security, 3(1), 1–20. https://doi.org/10.34218/GJCS_03_01_001
(5) Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646. https://doi.org/10.1109/JIOT.2016.2579198
(6) Zhang, C., Chen, X., Li, Q., & He, Q. (2021). A federated learning based resource allocation scheme in edge computing. IEEE Transactions on Services Computing, 14(3), 789–802. https://doi.org/10.1109/TSC.2020.2974235
(7) Antwi, I.K., Akwei, E., Ogundojutimi, O., & Donkor, N. (2025). AI-Driven Infrastructure Protection Framework for Resilient Enterprise Networks. International Journal of Innovative Science and Research Technology, 10(5), 4566–4578. https://doi.org/10.38124/ijisrt/25may2294
Downloads
Published
Issue
Section
Deprecated: urlencode(): Passing null to parameter #1 ($string) of type string is deprecated in /home/u877385332/domains/ijraics.com/public_html/plugins/generic/pflPlugin/PflPlugin.php on line 216
