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A cheat-proof game-theoretic framework for cooperative peer-to-peer video streaming

机译:用于协作对等视频流的防作弊游戏理论框架

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Cooperative peer-to-peer (P2P) streaming model, which enables cooperation among peers with large intra-group bandwidths, has been shown as a promising approach for video streaming applications. However, due to the inherent conflict between the individual peer's utility and the social optimality, designing an effective cooperative P2P streaming system becomes challenging. In this work, we first formulate the interactions among group peers as a cooperative P2P streaming game, which takes into account the unique characteristics of video. Then, a cheat-proof strategy is proposed to enforce rational group peers to achieve the optimal social welfare co-operatively. In particular, we prove theoretically that the proposed strategy can enforce truth-telling as an equilibrium, satisfy individual rationality and guarantee the budget balance of the system in an average sense. Finally, simulation results are shown to verify the effectiveness of the proposed scheme.
机译:协作对等(P2P)流模型可以在具有较大组内带宽的对等点之间进行协作,这已被证明是一种有前景的视频流应用方法。然而,由于各个对等方的效用与社会最优性之间的内在冲突,设计有效的协作式P2P流传输系统变得具有挑战性。在这项工作中,我们首先将群体对等方之间的互动公式化为合作的P2P流媒体游戏,其中考虑了视频的独特特征。然后,提出了一种防作弊策略,以强制理性的同伴群体合作以实现最佳的社会福利。特别是,我们从理论上证明了所提出的策略可以将讲真话作为一种均衡执行,可以满足个人合理性,并且可以平均地保证系统的预算平衡。最后,仿真结果表明了所提方案的有效性。

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