Demonstration of latency-aware 5G network slicing on optical metro networks

The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semi-disaggregated metro nodes with compute and storage capabilities, which interface effectively with both 5G access and multi-Tbit/s ela...

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Detalles Bibliográficos
Autores: Shariati, Mohammad Behnam, Velasco Esteban, Luis Domingo|||0000-0002-7345-296X, Pedreno Manresa, José Juan, Dochhan, Annika, Casellas Regi, Ramon, Siddique Muqaddas, Abubakar, González de Dios, Oscar, Luque Canto, L., Lent, Bodo, Ruiz Ramírez, Marc|||0000-0001-6429-6347
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/362091
Acceso en línea:https://hdl.handle.net/2117/362091
https://dx.doi.org/10.1364/JOCN.438951
Access Level:acceso abierto
Palabra clave:Optical communications
Video surveillance
5G mobile communication systems
Cameras
Servers
Face recognition
Streaming media
Optical network units
Optical feedback
Comunicacions òptiques
Vigilància electrònica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telecomunicació òptica
Descripción
Sumario:The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semi-disaggregated metro nodes with compute and storage capabilities, which interface effectively with both 5G access and multi-Tbit/s elastic optical networks in the core. In this paper, we report the automated deployment of 5G services, in particular, a public safety video surveillance use case employing low-latency object detection and tracking using on-camera and on-the-edge analytics. The demonstration features flexible deployment of network slice instances, implemented in terms of ETSI NFV Network Services. We summarize the key findings in a detailed analysis of end-to-end quality of service, service setup time, and soft-failure detection time. The results show that the round-trip-time over an 80 km link is under 800 µs and the service deployment time under 180 seconds.

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