对等网络中的内容定价

Jaeok Park, M. Schaar
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引用次数: 2

摘要

我们提供了一个点对点(P2P)网络中内容生产和分享的博弈论模型。我们描述了两种基准结果:没有任何激励方案的纳什均衡(NE)和社会最优。我们表明,P2P网络在网元结果中不被利用,而社会最优通常需要利用P2P网络。为了在自利节点之间获得社会最优结果,我们引入了下载节点补偿上传节点提供内容的定价方案。对于任何SO结果,我们可以找到一个具有链接依赖的线性价格的定价方案,将SO结果作为NE实现。我们用几个例子来说明我们的结果。我们的插图表明,社会最优价格和最优价格的结构取决于同行的特征,如成本参数和连通性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content pricing in peer-to-peer networks
We provide a game theoretic model of content production and sharing in a peer-to-peer (P2P) network. We characterize two benchmark outcomes: Nash equilibrium (NE) without any incentive scheme and social optimum. We show that the P2P network is not utilized at an NE outcome, whereas social optimum in general requires the utilization of the P2P network. In order to obtain a socially optimal (SO) outcome among self-interested peers, we introduce a pricing scheme where downloading peers compensate uploading peers for content provision. For any SO outcome, we can find a pricing scheme with link-dependent linear prices that achieves the SO outcome as an NE. We illustrate our results with several examples. Our illustration shows that the structures of social optimum and optimal prices vary depending on the characteristics of peers such as cost parameters and connectivity.
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