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Arbitrating Network Services in 5G Networks for Automotive Vertical Industry

Authors :
Juan Brenes
Koteswararao Kondepu
Luca Vettori
Corrado Puligheddu
Carla-Fabiana Chiasserini
Claudio Casetti
Francesco Paolucci
G. Landi
Jorge Baranda
Ricardo Martinez
Giuseppe Avino
S. Fichera
Josep Mangues-Bafalluy
Luca Valcarenghi
Source :
INFOCOM Workshops, IEEE INFOCOM 2020-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), e-Archivo: Repositorio Institucional de la Universidad Carlos III de Madrid, Universidad Carlos III de Madrid (UC3M), e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid, instname
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

This paper has been presented at IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops This demonstration shows how the 5G-TRANSFORMER platform, and more specifically the vertical slicer, is capable of arbitrating vertical services. In this context, arbitration refers to handling the various services of a given vertical customer according to their SLA requirements, service priorities, and resource budget available to the vertical. In this demo, a low priority video service of the automotive vertical is terminated when a high-priority intersection collision avoidance service needs to be instantiated and there are not enough resources allowing all services to be run in parallel. All these services are deployed with the help of the 5G-TRANSFORMER platform in a multi-PoP scenario, with PoPs in Barcelona (Spain), Turin (Italy), and Pisa (Italy), featuring a high variety of transport and computing technologies. Work supported in part by EU Commission H2020 5G-TRANSFORMER project (Grant No. 761536), H2020 5Growth project (Grant No. 856709), Spanish MINECO grant TEC2017-88373-R (5G-REFINE) and Generalitat de Catalunya grant 2017 SGR 1195.

Details

ISBN :
978-1-72818-695-5
ISBNs :
9781728186955
Database :
OpenAIRE
Journal :
IEEE INFOCOM 2020 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
Accession number :
edsair.doi.dedup.....86d344e95a8122cb50bfad27c7c4277f