An Evolutionary Edge Computing Architecture for the Beyond 5G Era

Elli Kartsakli*, Jordi Perez-Romero, Nikolaos Bartzoudis, Oriol Sallent, Oluwatayo Kolawole, Xin Tao, Swarup Kumar Mohalik, Tomasz Mach, Sige Liu, Yansha Deng, Gianluca Mando, Angelos Antonopoulos, Valerio Frascolla, Semiha Kosu, Gokhan Kalem, Fred Buining, Eduardo Quinones

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Beyond 5G (B5G) communication networks face the challenge of meeting the demanding requirements of various service types, including uRLLC, mIoT, eMBB, and emerging technologies like Extended Reality (XR). Edge computing can address these demands effectively because of the ability to bring computational power and resources closer to the source of data. Nevertheless, the realization of this potential necessitates an open, flexible, and automated architectural framework capable of supporting disaggregated applications and network designs. In this context, this paper introduces a novel architecture designed to advance the evolution of edge computing in B5G, developed within the EU-funded project VERGE. The proposed architecture is modular and scalable, guided by artificial intelligence (AI), and founded on three essential pillars: 'edge for AI,' 'AI for edge,' and 'security, privacy, and trustworthiness for AI.' After presenting this architecture, the paper showcases its applicability through the examination of two vertical use cases within the industrial and transportation domains.

Original languageEnglish
Title of host publication2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages61-67
Number of pages7
ISBN (Electronic)9798350303490
DOIs
Publication statusPublished - 2023
Event2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023 - Edinburgh, United Kingdom
Duration: 6 Nov 20238 Nov 2023

Publication series

NameIEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD
ISSN (Electronic)2378-4873

Conference

Conference2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2023
Country/TerritoryUnited Kingdom
CityEdinburgh
Period6/11/20238/11/2023

Keywords

  • AI/ML-based optimization
  • B5G/6G evolution
  • closed-loop automation
  • Edge computing
  • edge-cloud compute continuum
  • security and trustworthiness

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