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Advancing The Cloud-Edge Continuum: Architectures, Orchestration, And Future Directions In Edge-Native And Serverless Computing
Issue Vol. 2 No. 02 (2025): Volume 02 Issue 02 --- Section Articles
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Abstract
The evolution of computing paradigms has witnessed a paradigmatic shift from centralized cloud infrastructures toward distributed, edge-centric architectures that enable low-latency, context-aware, and resource-efficient services. Edge computing, a pivotal component of this continuum, promises transformative capabilities in the domains of the Internet of Things (IoT), real-time analytics, and pervasive artificial intelligence applications. This paper provides a comprehensive, scholarly exploration of edge-native computing paradigms, serverless function deployment across the edge-cloud continuum, and the orchestration mechanisms underpinning these environments. Leveraging an extensive corpus of contemporary research, the study delineates theoretical foundations, architectural frameworks, and methodological approaches to optimize service placement, mobility-aware computing, and energy efficiency within distributed ecosystems. Furthermore, critical discussion is provided on the security, reliability, and scalability challenges inherent in edge-native deployments. By synthesizing perspectives from seminal research (Shi et al., 2016; Khan et al., 2019; Cao et al., 2020) and recent technological initiatives, this work highlights opportunities for the convergence of cloud-native principles with edge computing strategies. The paper emphasizes the role of predictive orchestration, function-as-a-service (FaaS) paradigms, and AI-driven resource allocation in facilitating a responsive, resilient, and context-sensitive computing continuum. The theoretical insights presented aim to inform the design of next-generation platforms that integrate cognitive, autonomous, and human-centric capabilities while addressing the practical constraints imposed by latency, bandwidth, and mobility. Finally, the study identifies gaps in current literature, proposing avenues for rigorous experimental validation and cross-disciplinary collaboration to advance the frontiers of edge computing research.
Keywords
References
1. Raith, P., Rausch, T., Furutanpey, A., Dustdar, S. A trace‐driven simulation framework for serverless edge computing platforms. Software: Practice and Experience, 2023.
2. Aslanpour, M. S., Toosi, A. N., Cicconetti, C., Javadi, B. Serverless Edge Computing: Vision and Challenges. Australasian Computer Science Week Multiconference, 2021.
3. Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K. B. A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys & Tutorials, 19(4), 2322-2358, 2017.
4. Chen, M., Liu, W., Wang, T., Zhang, S., Liu, A. A Game-Based Deep Reinforcement Learning Approach for Energy-Efficient Computation in MEC Systems. Knowledge-Based Systems, 2022, 235, 107660.
5. Zhong, Z., Rodriguez, M. A., Rodriguez, A., Buyya, R., Xu, M., Xu, C., Buyya, R. Machine Learning-Based Orchestration of Containers: A Taxonomy and Future Directions. ACM Computing Surveys, 54, 1–35, 2022.
6. Cao, K., Liu, Y., Meng, G., Sun, Q. An Overview on Edge Computing Research. IEEE Access 2020, 8, 85714–85728.
7. Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L. Edge Computing: Vision and Challenges. IEEE Internet of Things Journal, 2016, 3, 637–646.
8. HaddadPajouh, H., Pedersen, J. M., Mogensen, P. Bringing cloud to the edge: A review on fog computing architecture and opportunities. Future Generation Computer Systems, 92, 255-265, 2019.
9. Khan, W.Z., Ahmed, E., Hakak, S., Yaqoob, I., Ahmed, A. Edge Computing: A Survey. Future Generation Computer Systems, 97, 219–235, 2019.
10. European Commission. Shaping Europe’s Digital Future: IoT and the Future of Edge Computing in Europe. 2023.
11. Xu, M., Zhou, Q., Wu, H., Lin, W., Ye, K., Xu, C. PDMA: Probabilistic Service Migration Approach for Delay-Aware and Mobility-Aware Mobile Edge Computing. Software Practice and Experience, 52, 394–414, 2022.
12. Morabito, R., Farris, I., Iera, A., Taleb, T. Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge. IEEE Internet Things Journal, 4, 1019–1030, 2017.
13. Azeez, S., Elkhatib, Y., Race, N. Function-as-a-Service: Research Landscape and Challenges. 6th International Workshop on Software Engineering Research and Industrial Practice (SER&IP), 19-26, 2020.
14. OpenFaaS: Serverless Functions Made Simple. https://www.openfaas.com/
15. AWS Lambda: Serverless Compute. https://aws.amazon.com/lambda/
16. Google Cloud Functions. https://cloud.google.com/functions
17. Satyanarayanan, M., Klas, G., Silva, M., Mangiante, S. The Seminal Role of Edge-Native Applications. IEEE International Conference on Edge Computing, 33–40, 2019.
18. Duan, Q., Wang, S., Ansari, N. Convergence of Networking and Cloud/Edge Computing: Status, Challenges, and Opportunities. IEEE Network, 34, 148–155, 2020.
19. Zeyu, H., Geming, X., Zhaohang, W., Sen, Y. Survey on Edge Computing Security. ICBAIE 2020, 96–105.
20. HaddadPajouh, H., Pedersen, J. M., Mogensen, P. Bringing cloud to the edge: A review on fog computing architecture and opportunities. Future Generation Computer Systems, 92, 255-265, 2019.
21. Raith, P., Rausch, T., Furutanpey, A., Dustdar, S. A trace‐driven simulation framework for serverless edge computing platforms. Software: Practice and Experience, 2023.
