A QoS Model to Identify Required QoS for Guaranteeing Quality of Internet Video Streaming Services

Understanding the required quality of service (QoS) for guaranteeing the necessary video quality for Internet video streaming services is important for enabling network operators to provide high-quality networks. Recent trace-based approaches that infer video quality through machine-learning based traffic-feature analysis have a drawback in terms of the maintenance cost for updating their analysis model due to the massive number of videos uploaded daily. In this paper, we construct a QoS analysis model that calculates the required throughput for delivering video with a certain resolution by using encoding information instead of traffic tracing. For accurate modeling, we consider and formulate communication overhead, i.e. streaming behavior, retransmission, and headers. Through experiments, we demonstrate that our model can perform in two use cases: (1) estimating effective resolution for arbitrary QoS, and (2) calculating the required QoS for guaranteeing the necessary video quality.