Evaluation of segment-based proxy caching for video on demand
In this paper, we derive an analytical model for the evaluation of the performance of a video on demand (VoD) system. The model estimates the mean waiting time achievable by the popularity-aware partial caching (PAPA) algorithm from our previous work. Two approximation strategies are proposed for low computational complexity. Furthermore, we also consider the influence of a starting point shift on the quality of experience and combine the two factors into a universal user satisfaction metric. In order to find the relation between the two impairments, waiting time and starting point shift, sophisticated subjective tests are performed. With the final score model, a more comprehensive evaluation of the system can be obtained with very low computational complexity.