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A Game Theoretic Analysis of Incentives in Content Production and Sharing Over Peer-to-Peer Networks

机译:对等网络内容生产与共享激励的博弈分析

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Peer-to-peer (P2P) networks can be easily deployed to distribute user-generated content at a low cost, but the free-rider problem hinders the efficient utilization of P2P networks. Using game theory, we investigate incentive schemes to overcome the free-rider problem in content production and sharing. We build a basic model and obtain two benchmark outcomes: 1) the non-cooperative outcome without any incentive scheme and 2) the cooperative outcome. We then propose and examine three incentive schemes based on pricing, reciprocation, and intervention. We also study a brute-force scheme that enforces full sharing of produced content. We find that 1) cooperative peers share all produced content while non-cooperative peers do not share at all without an incentive scheme; 2) by utilizing the P2P network efficiently, the cooperative outcome achieves higher social welfare than the non-cooperative outcome does; 3) a cooperative outcome can be achieved among non-cooperative peers by introducing an incentive scheme based on pricing, reciprocation, or intervention; and 4) enforced full sharing has ambiguous welfare effects on peers. In addition to describing the solutions of different formulations, we discuss enforcement and informational requirements to implement each solution, aiming to offer a guideline for protocol design for P2P networks.
机译:对等(P2P)网络可以轻松部署,以低成本分发用户生成的内容,但是搭便车问题阻碍了P2P网络的有效利用。使用博弈论,我们研究了激励方案,以克服内容生产和共享中的搭便车问题。我们建立一个基本模型并获得两个基准结果:1)没有任何激励机制的非合作结果; 2)合作结果。然后,我们提出并研究了基于价格,往复和干预的三种激励方案。我们还研究了强制实施生产内容完全共享的蛮力计划。我们发现:1)合作伙伴共享所有产生的内容,而非合作伙伴没有激励机制就根本不共享; 2)通过有效地利用P2P网络,合作成果比非合作成果获得了更高的社会福利; 3)通过引入基于定价,互惠或干预的激励机制,可以在非合作伙伴之间实现合作成果; (4)强制完全共享会对同伴产生模糊的福利影响。除了描述不同公式的解决方案外,我们还将讨论实施每种解决方案的强制性要求和信息要求,旨在为P2P网络的协议设计提供指导。

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