P2P视频流的进化博弈方法

L. Chisci, F. Papi, T. Pecorella, R. Fantacci
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引用次数: 11

摘要

本文研究了P2P视频流的资源分配和分布树的创建。假设视频分发基于多描述编解码器(Multiple Description Codec, MDC),所提出的方法以完全分布式的基于客户端的方式,通过所有同伴玩的进化(社会启发)游戏来联合执行这两个任务。进化博弈的关键思想是,每个节点不断测量自己的效用(即视频质量),并通过定期与其他随机选择的节点进行比较,试图模仿具有更高效用的节点的行为(即资源分配和视频分发)。为了评估所提出的技术的性能,Peersim进行了大量的仿真实验。研究结果表明,分布式多树网络在可扩展性、快速自适应、节点间高度协作和自组织等方面具有显著的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Evolutionary Game Approach to P2P Video Streaming
This paper deals with the allocation of resources and the creation of distribution trees for P2P video streaming. Assuming that the video distribution is based on a Multiple Description Codec (MDC), the proposed approach performs jointly the two tasks, in a completely distributed client-based fashion, by means of an evolutionary (socially inspired) game played by all peers. The key idea of the evolutionary game is that each peer continuously measures its own utility (i.e., video quality) and, by periodical comparison with other randomly chosen peers, tries to mimic the behavior (i.e., resource allocation and video distributors) of peers with higher utility. Extensive simulation experiments by Peersim have been carried out in order to assess the performance of the proposed technique. The obtained results have highlighted remarkable benefits in terms of scalability, fast adaptation to churning, high degree of cooperation among peers and self-organization of the distribution multitree network.
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