Optimal Scheduling of QoE-Aware Dynamic Adaptive Streaming over HTTP
Date Issued
2016
Date
2016
Author(s)
Liu, Yu-Chi
Abstract
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.
Subjects
dynamic adaptive streaming over HTTP (DASH)
quality of experience (QoE)
IPTV
Type
thesis
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