Edge and Cloud Computing: A Survey of Architectures, Challenges, and Opportunities
Abstract
The popularity of IoT devices these days demands low-latency applications have exposed the limitations of traditional Cloud Computing. Edge paradigm has emerged with a different
approach, by bringing computation & storage nearer to the sources of data. This paper provides a survey on Edge-Cloud computing by focusing on its architecture models, challenges faced in adopting the said models and future opportunities. Finally, we explore the promising future of
this system as well as its implementation in the synergy with AI/ML and impact on 5G/6G networks. This survey serves as a valuable lesson for understanding the present state and future evolution of Edge & Cloud Computing.
References
Odun-Ayo, M. Ananya, F. Agono and R. Goddy-Worlu, "Cloud Computing Architecture: A Critical Analysis," 2018 18th International Conference on Computational Science and
Applications (ICCSA), Melbourne, VIC, Australia, 2018
Hamdan, S.; Ayyash, M.; Almajali, S. Edge-Computing Architectures for Internet of Things Applications: A Survey. Sensors 2020
M. Talebkhah, A. Sali, M. Marjani, M. Gordan, S. J. Hashim and F. Z. Rokhani, "Edge computing: Architecture, Applications and Future Perspectives," 2020 IEEE 2nd International
Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Kota Kinabalu,
Malaysia, 2020
Sajid, Mohammad, and Zahid Raza. "Cloud computing: Issues & challenges." International conference on cloud, big data and trust. Vol. 20. No. 13. sn, 2013.
Bajic, Bojana, et al. "EDGE COMPUTING VS. CLOUD COMPUTING: CHALLENGES AND OPPORTUNITIES IN INDUSTRY 4.0." Annals of DAAAM & Proceedings 30 (2019).
Refbacks
- There are currently no refbacks.