Measuring QoS and QoE for a Softwarized Video Surveillance System in a 5G Network

Abstract

In the last few years, thanks to the SDN and NFV network paradigms and to the MEC cloud computing paradigm, network is modifying its ossified infrastructure through a softwarization process. This process is one of the main enabler of the forthcoming 5G network. Despite the huge amount of research that has been carried out in the recent literature around both service definition and deployment in a 5G network, and characterization of quality of service (QoS) and quality of experience (QoE), there is the need of testing services on field, in order to understand how key performance indices (KPI) depend on each level of the deployment architecture. This paper considers DiMoViS, an implementation of a softwarized video surveillance system in 5G networks, with the target of identifying the main QoS and QoE performance parameters. Measurements of these parameters are achieved by using a 5G platform provided by the European Fire TRIANGLE project.