On the Bitrate Adaptation of Shared Media Experience Services

Argyrios G. Tasiopoulos, Ray S. Atarashi, I. Psaras, G. Pavlou
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引用次数: 2

Abstract

In Shared Media Experience Services (SMESs), a group of people is interested in streaming consumption in a synchronised way, like in the case of cloud gaming, live streaming, and interactive social applications. However, group synchronisation comes at the expense of other Quality of Experience (QoE) factors due to both the dynamic and diverse network conditions that each group member experiences. Someone might wonder if there is a way to keep a group synchronised while maintaining the highest possible QoE for each one of its members. In this work, at first we create a Quality Assessment Framework capable of evaluating different SMESs improvement approaches with respect to traditional metrics like media bitrate quality, playback disruption, and end user desynchronisation. Secondly, we focus on the bitrate adaptation for improving the QoE of SMESs, as an incrementally deployable end user triggered approach, and we formulate the problem in the context of Adaptive Real Time Dynamic Programming (ARTDP). Finally, we develop and apply a simple QoE aware bitrate adaptation mechanism that we compare against youtube live-streaming traces to find that it improves the youtube performance by more than 30%.
共享媒体体验服务的比特率适配研究
在共享媒体体验服务(SMESs)中,一群人对同步的流媒体消费感兴趣,就像云游戏、直播和交互式社交应用程序一样。然而,由于每个小组成员所经历的动态和多样化的网络条件,小组同步是以牺牲其他体验质量(QoE)因素为代价的。有些人可能想知道是否有一种方法可以在保持组同步的同时为每个成员保持尽可能高的QoE。在这项工作中,首先,我们创建了一个质量评估框架,能够根据媒体比特率质量、播放中断和最终用户不同步等传统指标评估不同的SMESs改进方法。其次,作为一种可增量部署的终端用户触发方法,我们重点研究了比特率自适应以提高SMESs的QoE,并在自适应实时动态规划(ARTDP)的背景下阐述了该问题。最后,我们开发并应用了一个简单的QoE感知比特率自适应机制,我们将其与youtube直播流跟踪进行比较,发现它将youtube性能提高了30%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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