Utility function for predicting IPTV Quality of Experience based on delay in Overlay Networks

Abstract

Service Overlay Networks (SONs) provide new complex services in the Internet without requiring major changes to underlying physical networks. A SON is an overlay network made up of virtual nodes and links on top of the existing infrastructure. Whenever a client requests a specific service, such as streaming a video on his mobile device, the SON creates a path on the fly to deliver the video stream from the server to the client. This path is called a Service Specific Overlay Network (SSON) and consists of nodes that meet the Quality of Service (QoS), Quality of Experience (QoE), and technical requirements of the user. Unfortunately, the highly dynamic nature of overlay networks makes it challenging to keep video quality at the required levels. Errors and delays due mainly to congestion cause packets to be dropped or queued for a long period of time in intermediate nodes. Video quality is greatly affected by such impairments. In this paper, we propose a utility function to predict QoE of video delivered over SSONs. The proposed function is based on application-level statistical information, namely frame delay. It allows user QoE to be monitored in real-time without incurring additional overhead on the network. When degradation in the utility is detected, appropriate adaptation schemes can be used to restore the QoE to acceptable levels. We show the effectiveness and flexibility of the proposed scheme via mathematical proofs and simulation results.