Viewing experience optimization based on adaptive requesting window adjustment in peer-to-peer media streaming

Viewing experience optimization based on adaptive requesting window adjustment in peer-to-peer media streaming
复制标题

点对点媒体流中基于自适应请求窗口调整的观看体验优化

DOI:
10.1016/j.compeleceng.2011.09.012
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发表时间:
2011-11
期刊:
Computers & Electrical Engineering
影响因子:
--
通讯作者:
Lu, Hancheng
Lu, Hancheng
中科院分区:
其他
文献类型:
--
作者:
Ye, Hao;Xue, Kaiping;Hong, Peilin;Lu, Hancheng

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在过去的几年里,对等(P2P)流媒体系统取得了巨大的成就。在基于网格的P2P流媒体系统中,同时从多个父节点检索数据提高了流媒体服务的弹性。然而,它也带来了播放滞后。为了改善用户的观看体验,我们应该同时考虑流媒体服务的播放延迟和弹性。然而,这两个目标之间似乎存在着自然的权衡。在本文中,我们提出了一种观看体验优化算法,该算法根据不同的请求策略自适应地调整请求窗口的位置。该方法的新奇在于它利用了不同类型视频的异构实时需求,并能自适应地调整请求策略。该算法在保证基本服务质量(QoS)的前提下,实现了播放延迟和恢复能力的平衡。最后,通过实验验证了该方法的有效性.
In the last few years, great achievements have been made in the field of peer-to-peer (P2P) streaming system. In mesh-based P2P streaming system, retrieving data from multiple parents simultaneously improves resilience of the streaming service. However, it also brings in playback lags. To improve users’ viewing experiences, we should consider both playback lags and resilience of the streaming service. However, it seems there is a natural trade-off between these two goals. In this paper we propose a viewing experience optimization algorithm which adjusts the position of the requesting window adaptively based on different requesting strategies. The novelty of the proposed method is that it utilizes heterogeneous real-time demands for different genres of videos, and can adjust requesting strategies adaptively. Under the condition of guaranteeing basic QoS (Quality of Service), the algorithm achieves a balance between playback lags and resilience. Finally, experiment results show the satisfactory performance of the proposed method.
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