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S4Q: Searching for QoE in P2P streaming neighborhoods

机译:S4Q:在P2P流媒体社区中搜索QoE

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In P2P video streaming systems, the neighbor selection algorithm is one of the fundamental components that affects performance. Although a few neighbor selection methodologies have been proposed, none of them takes into consideration QoE metrics reported by peers as a parameter for decisions. In this work, we present a new metric that quantifies the QoE as a function of the number of absences of pieces of a video during playback, referred to as stress level. A peer is stable if its stress level remains constant over a certain interval of time. Then, we propose a new neighbor selection algorithm for P2P streaming. The algorithm promotes exchanges of lists of stable peers, in order to get shorter download times and minimum interruption during video playback. The performance results show that our proposal is competitive against other state-of-the-art algorithms, reducing the number of absences of video pieces during playback by at least 19% and the average stress level by up to 32%.
机译:在P2P视频流系统中,邻居选择算法是影响性能的基本组件之一。尽管已经提出了几种邻居选择方法,但是它们都不考虑将对等方报告的QoE度量作为决策参数。在这项工作中,我们提出了一种新的指标,该指标根据播放过程中缺少视频片段的数量来量化QoE,称为压力水平。如果对等体的压力水平在一定时间间隔内保持恒定,则它是稳定的。然后,我们提出了一种新的P2P流媒体邻居选择算法。该算法促进了稳定对等方列表的交换,以便获得较短的下载时间并在视频播放期间将中断降到最低。性能结果表明,我们的建议与其他最新算法相比具有竞争优势,可将回放过程中不存在视频片段的数量减少至少19%,并将平均压力水平降低多达32%。

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