An AI/ML Proactive Network Service Relocation Approach for Multi-Admin Domain Scenarios

Jorge Baranda, Akram Galal, Luca Vettori, Asterios Mpatziakas, Andrea Gentili, Anastasios Sinanis, Anastasia Yastrebova-Castillo, Guillermo Gomez, Sozos Karageorgiou, Anastasios Drosou, Johan Scholliers, Miquel Payaro, Josep Mangues-Bafalluy

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

Abstract

Novel networking paradigms are enabling the introduction of innovative vertical use cases and new business relations in the B5G/6G mobile ecosystem. For instance, a use case may require the coordination of domains owned by different operators to provide service continuity and keep offering a vertical network service (NS) in similar conditions after a cross-border situation. This demonstration presents a procedure to perform a proactive service relocation in such a multi-administrative domain scenario considering an automotive use case. This demonstration proposes a cloud-native solution combining multiple enablers to manage the life-cycle of virtualised automotive NSs. During run-time, and upon registration, an AI/ML-based enabler decides proactively on the service relocation moment based on the collected vehicle's positions and triggers an Integration Fabric enabler following ETSI ZSM guidelines to start a new instance of such automotive NS at the associated ETSI NFV management and orchestration stack present in the neighbouring administrative domain.
Original languageEnglish
Title of host publicationProceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024
EditorsJames Won-Ki Hong, Seung-Joon Seok, Yuji Nomura, You-Chiun Wang, Baek-Young Choi, Myung-Sup Kim, Roberto Riggio, Meng-Hsun Tsai, Carlos Raniery Paula dos Santos
PublisherIEEE Institute of Electrical and Electronic Engineers
Number of pages3
ISBN (Electronic)979-8-3503-2793-9
ISBN (Print)979-8-3503-2794-6
DOIs
Publication statusPublished - 2024
MoE publication typeA4 Article in a conference publication
EventIEEE/IFIP Network Operations and Management Symposium, NOMS 2024 - Seoul, Korea, Republic of
Duration: 6 May 202410 May 2024

Publication series

SeriesIEEE/IFIP Network Operations and Management Symposium
ISSN1542-1201

Conference

ConferenceIEEE/IFIP Network Operations and Management Symposium, NOMS 2024
Country/TerritoryKorea, Republic of
CitySeoul
Period6/05/2410/05/24

Keywords

  • AI/ML
  • Cloud-Native
  • Edge
  • MANO
  • Multi-Domain
  • NFV
  • Proactive Service Relocation
  • ZSM

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