4.6 Article

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

Journal

JOURNAL OF OPTICAL COMMUNICATIONS AND NETWORKING
Volume 14, Issue 1, Pages A81-A90

Publisher

Optica Publishing Group
DOI: 10.1364/JOCN.438951

Keywords

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Funding

  1. Horizon 2020 Framework Programme [761727]
  2. Bundesministerium fur Bildung und Forschung [16KIS0979K]

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The H2020 METRO-HAUL project has developed a latency-aware, cost-effective, agile, and programmable optical metro network. The project successfully deployed 5G services, particularly a public safety video surveillance application with low-latency object detection and tracking. The analysis of end-to-end quality of service, service setup time, and soft-failure detection time shows promising results.
The H2020 METRO-HAUL European project has architected a latency-aware, cost-effective, agile, and programmable optical metro network. This includes the design of semidisaggregated 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 European Telecommunications Standards Institute (ETSI) network function virtualization 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 mu s and the service deployment time is under 180 s. (C) 2021 Optical Society of America

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