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A Payment-Based Incentive and Service Differentiation Scheme for Peer-to-Peer Streaming Broadcast

机译:点对点流广播的基于付费的激励和服务区分方案

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摘要

We propose a novel payment-based incentive scheme for peer-to-peer (P2P) live media streaming. Using this approach, peers earn points by forwarding data to others. The data streaming is divided into fixed length periods; during each of these periods peers compete with each other for good parents (data suppliers) for the next period in a first-price-auction-like procedure using their points. We design a distributed algorithm to regulate peer competitions, and consider various individual strategies for parent selection from a game theoretic perspective. We then discuss possible strategies that can be used to maximize a peer''s expected media quality by planning different bids for its substreams. Finally, in order to encourage off-session users to remain staying online and continue contributing to the network, we develop an optimal data forwarding strategy that allows peers to accumulate points that can be used in future services. Simulations results show that proposed methods effectively differentiate the media qualities received by peers making different contributions (which originate from, for example, different forwarding bandwidths or servicing times), and at the same time maintaining a high overall system performance.
机译:我们为点对点(P2P)实时媒体流提出了一种新颖的基于支付的激励方案。使用此方法,对等方通过将数据转发给他人来赚取积分。数据流分为固定长度的时间段;在这些期间的每一个期间,同龄人都使用他们的积分,通过类似首次价格拍卖的程序,为下一个时期的好父母(数据提供者)相互竞争。我们设计了一种分布式算法来规范同伴竞争,并从博弈论的角度考虑了各种针对父母选择的个体策略。然后,我们讨论可能的策略,这些策略可以通过为子流计划不同的出价来最大化其预期的媒体质量。最后,为了鼓励会话结束的用户保持在线状态并继续为网络做贡献,我们开发了一种最佳的数据转发策略,该策略允许对等方累积可用于将来服务的点数。仿真结果表明,所提出的方法有效地区分了做出不同贡献的对等方收到的媒体质量(例如,这些质量源于不同的转发带宽或服务时间),同时保持了较高的整体系统性能。

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