A Latency-Aware Real-Time Video Surveillance Demo: Network Slicing for Improving Public Safety
B. Shariati, J. J. Pedreno-Manresa, A. Dochhan, A. S. Muqaddas, R., Casellas, O. Gonz\'alez de Dios, L. L. Canto, B. Lent, J. E. L\'opez de, Vergara, S. L\'opez-Buedo, F. J. Moreno, P. Pav\'on, L. Velasco, S. Patri, A., Giorgetti, F. Cugini, A. Sgambelluri, R. Nejabati
TL;DR
This paper demonstrates the deployment of 5G network slicing for real-time video surveillance, focusing on latency reduction and service reliability to enhance public safety.
Contribution
It introduces a latency-aware, virtualized 5G network deployment specifically designed for real-time video surveillance applications.
Findings
End-to-end latency analysis shows significant improvements.
Service setup time is optimized for rapid deployment.
Soft-failure detection enhances network reliability.
Abstract
We report the automated deployment of 5G services across a latency-aware, semidisaggregated, and virtualized metro network. We summarize the key findings in a detailed analysis of end-to-end latency, service setup time, and soft-failure detection time.
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Taxonomy
TopicsSoftware-Defined Networks and 5G · Advanced Computing and Algorithms · IoT and Edge/Fog Computing