Abstract
This study aims to conduct an in depth analysis of Cloud Continuum and Multi Access Edge Computing architectures, with a focus on the importance of reference architectures even in a 5G context by highlighting how these technologies can synergistically enhance processing at the edge of the network. In particular, after identifying the largest number of reference architectures through a comparative analysis, the strengths, contexts and motivations in which one can benefit from its use and the challenges associated with each architecture will be shown for each of them, taking into account several parameters including privacy, modularity, orchestration or integration. Finally, some key use case examples will be explored in order to validate the importance of these technologies.
This is a preview of subscription content, log in via an institution to check access.
References
Di Martino, B., Esposito, A., D’Angelo, S., Maisto, S.A., Nacchia, S.: A compiler for agnostic programming and deployment of big data analytics on multiple platforms. IEEE Trans. Parallel Distrib. Syst. 30(9), 1920–1931 (2019)
Gupta, H., Nath, S.B., Chakraborty, S., Ghosh, S.K.: SDFog: a software defined computing architecture for QoS aware service orchestration over edge devices. arXiv preprint arXiv:1609.01190 (2016)
Amato, A., Di Martino, B., Venticinque, S.: A distributed cloud brokering service. Informatica 26(1), 1–15 (2015)
Di Martino, B., Esposito, A., Damiani, E.: Towards AI-powered multiple cloud management. IEEE Internet Comput. 23(1), 64–71 (2019)
Pezzullo, G.J., Esposito, A., di Martino, B.: Federated learning of predictive models from real data on diabetic patients. In: Barolli, L. (ed.) AINA 2023. LNNS, vol. 655, pp. 80–89. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-28694-0_8
Varghese, B., Wang, N., Barbhuiya, S., Kilpatrick, P., Nikolopoulos, D.S.: Challenges and opportunities in edge computing. In: 2016 IEEE international conference on smart cloud (SmartCloud), pp. 20–26. IEEE (2016)
Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)
ETSI, M.: Mobile edge computing-introductory technical white paper. In: ETSI2014mobile, no. Issue (2014)
ETSI. Multi-access edge computing (MEC); framework and reference architecture. ETSI GS MEC 003 V3.1.1 (2022)
Di Martino, B.: Applications portability and services interoperability among multiple clouds. IEEE Cloud Comput. 1(1), 74–77 (2014)
Plan, N.P.A.: National institute of standards and technology (NIST)
Liu, F., et al.: NIST cloud computing reference architecture. NIST SP 500-292. Consultado el 6(08), 2013 (2011)
Di Martino, B., Cretella, G., Esposito, A.: Advances in applications portability and services interoperability among multiple clouds. IEEE Cloud Comput. 2(2), 22–28 (2015)
Wang, S., Hu, Y., Wu, J.: Kubeedge. AI: AI platform for edge devices. arXiv preprint arXiv:2007.09227 (2020)
Nato logistics handbook (2012)
Allied joint doctrine for logistics, edition b, version 1 (2018)
Farahpoor, M., Esparza, O., Soriano, M.: Comprehensive IoT-driven fleet management system for industrial vehicles. IEEE Access (2023). https://doi.org/10.1109/ACCESS.2023.3343920.
Saha, S., Low, W., Di Martino, B.: Sustainment of military operations by 5G and cloud/edge technologies. In: Barolli, L. (ed.) AINA 2023. LNNS, vol. 655, pp. 70–79. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-28694-0_7
Di Martino, B., Venticinque, S., Esposito, A., D’Angelo, S.: A methodology based on computational patterns for offloading of big data applications on cloud-edge platforms. Future Internet 12(2), 28 (2020)
Acknowledgements
This work has been conducted within the context of the Nato-STO (Science and Technology Organization) working group IST-187 on 5G.
Gennaro Junior Pezzullo is a PhD student enrolled in the National PhD in Artificial Intelligence, XXXVII cycle, course on Health and life sciences, organized by “Università Campus Bio-Medico di Roma”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
di Martino, B., Pezzullo, G.J., Low, W., Ljungberg, P., Saha, S. (2024). Survey on Reference Architecture for Cloud Continuum and Multi-access Edge Computing (MEC) in 5G Networks. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-57931-8_14
Download citation
DOI: https://doi.org/10.1007/978-3-031-57931-8_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57930-1
Online ISBN: 978-3-031-57931-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)