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AuthorFilali, Abderrahime
AuthorAbouaomar, Amine
AuthorCherkaoui, Soumaya
AuthorKobbane, Abdellatif
AuthorGuizani, Mohsen
Available date2022-12-22T09:17:56Z
Publication Date2020-01-01
Publication NameIEEE Access
Identifierhttp://dx.doi.org/10.1109/ACCESS.2020.3034136
CitationFilali, A., Abouaomar, A., Cherkaoui, S., Kobbane, A., & Guizani, M. (2020). Multi-access edge computing: A survey. IEEE Access, 8, 197017-197046.‏
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85099901543&origin=inward
URIhttp://hdl.handle.net/10576/37547
AbstractMulti-access Edge Computing (MEC) is a key solution that enables operators to open their networks to new services and IT ecosystems to leverage edge-cloud benefits in their networks and systems. Located in close proximity from the end users and connected devices, MEC provides extremely low latency and high bandwidth while always enabling applications to leverage cloud capabilities as necessary. In this article, we illustrate the integration of MEC into a current mobile networks' architecture as well as the transition mechanisms to migrate into a standard 5G network architecture.We also discuss SDN, NFV, SFC and network slicing as MEC enablers. Then, we provide a state-of-the-art study on the different approaches that optimize the MEC resources and its QoS parameters. In this regard, we classify these approaches based on the optimized resources and QoS parameters (i.e., processing, storage, memory, bandwidth, energy and latency). Finally, we propose an architectural framework for a MEC-NFV environment based on the standard SDN architecture.
Languagear
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subject5G
Multi-access edge computing
Network function virtualization
Network slicing
Service function chaining
Software defined networking
TitleMulti-access edge computing: A survey
TypeArticle Review
Pagination197017-197046
Volume Number8
dc.accessType Open Access


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