Abstract
Video streaming is an important part of the Internet and it is widely used for IPTV, video conferencing and E-learning. The quality of experience (QoE) of users about the video contents is important for service providers to improve services and provide quality of service to end users. The video quality is affected by packet reordering, delay and loss in the network, which degrades the QoE of end users. In this paper, we conducted several experiments on video streaming creating artificial packet reorder to measure user stratification level of video quality as well as acceptable network level for end users. We used NetEm tool for creating artificial packet reorder in video streaming, recording and playing videos for participants for perception, and investigated the QoE of different packet reorder percentage. From our experiments, we found that QoE of users is decreased when video quality is reordered due to network traffic. This work will help content providers to provide QoE to users based on service level agreements.
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