Maximizing streaming quality in heterogeneous overlays through incentives

I. Chatzidrossos
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Abstract

The upload contribution of peers in a peer-to-peer streaming system depends on their willingness to contribute as well as their physical limitation. Several incentive schemes have been proposed to enforce non-willing peers to cooperate. But we find it of great interest to see how physically constrained, with respect to resources, peers can be supported by a streaming application. In this paper we investigate how free-riders, namely non-contributing peers, can be served in a peer-to-peer streaming system. We examine different prioritization schemes that are used by high contributing peers to prioritize other contributing peers over free-riders and show that as the level of prioritization increases, contributing peers receive higher quality but the average quality drops. To avoid this, we propose an incentive mechanism that encourages contributing peers to upload to free-riders so that the average quality experienced by the peers in the overlay is maximized.
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通过激励最大化异构覆盖的流媒体质量
在点对点流媒体系统中,节点的上传贡献取决于他们的贡献意愿以及他们的物理限制。已经提出了几种激励方案来强制不愿意合作的同伴。但是我们非常感兴趣的是,看看在资源方面,物理约束如何被流应用程序支持。在本文中,我们研究了如何在点对点流系统中为搭便车者(即不贡献的对等体)提供服务。我们研究了高贡献的同行使用的不同优先级方案,以优先考虑其他贡献的同行而不是搭便车,并表明随着优先级水平的提高,贡献的同行获得更高的质量,但平均质量下降。为了避免这种情况,我们提出了一种激励机制,鼓励有贡献的对等体上传给搭便车者,这样对等体在覆盖层中体验到的平均质量就会最大化。
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