Optimal Scheduling of QoE-Aware Dynamic Adaptive Streaming over HTTP

• Main Authors: Yu-Chi Liu, 劉郁琪
• Other Authors: 張瑞益
• Format: Others
• Language: en_US
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/30888362780123254833

碩士 === 國立臺灣大學 === 工程科學及海洋工程學研究所 === 104 === DASH (Dynamic Adaptive Streaming over HTTP) is now the most pop- ular standard in video streaming. This method allows the client adjusting the quality of the requested stream dynamically. To the best of our knowledge, most heuristic algorithms proposed for DASH consider how to maintain a good user experience when playing videos; however, minimum resources for smooth and high quality video playback have not been resolved in the previ- ous studies. In this paper, we are interested in transmitting DASH videos over residential networks with small bandwidth (such as DSL based network for IPTV). The goal is to solve the QoE maximization with minimum resource problem and design a transmission schedule for a given transmission rate and initial delay such that QoE metrics are optimized. We show that upper-bound algorithm can find minimum resources (such as the minimum buffer size, ini- tial delay, and the network bandwidth) for video playback. Besides, maxi- mum quality algorithm, L2H with and without buffer size constraint optimize the given QoE metrics. The results of objective and subjective experiments show that the given algorithms achieve better QoE than previous research.