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Reward only is not enough: Evaluating and improving the fairness policy of the P2P file sharing network eMule/eDonkey - Springer

机译:仅奖励是不够的:评估和改进P2P文件共享网络eMule / eDonkey的公平性策略-Springer

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摘要

Limiting the threat of free-riding behavior is an important design issue for peer-to-peer (P2P) file sharing networks. However, the fairness policy that rewards contributors with credit in one of the most popular P2P file sharing networks, eMule/eDonkey, hasn’t been thoroughly studied. In this paper, motivated by our experiments with the eMule/eDonkey network, we firstly theoretically analyze the content exchange process with credit in eMule/eDonkey and then verify the mathematical model by an agent-based simulation. Both the numerical and simulation-based results confirm our discovery in the experiments that eMule/eDonkey’s local credit strategy can not provide enough fairness as it doesn’t explicitly punish free-riders. To overcome this drawback, we propose a new free-riding control scheme, which can simply maintain the current credit local structure and take advantage of the credit policy. Extensive numerical evaluation and simulation indicate that this scheme significantly improves system fairness.
机译:对于点对点(P2P)文件共享网络,限制搭便车行为的威胁是一个重要的设计问题。但是,尚未对采用最流行的P2P文件共享网络之一eMule / eDonkey奖励贡献者的公平政策进行深入研究。在本文中,以我们在eMule / eDonkey网络上的实验为动力,我们首先从理论上分析了在eMule / eDonkey中使用信誉进行内容交换的过程,然后通过基于代理的仿真来验证数学模型。基于数值和基于模拟的结果都证实了我们在实验中的发现,即eMule / eDonkey的本地信用策略无法提供足够的公平性,因为它并未明确惩罚搭便车的人。为了克服这个缺点,我们提出了一种新的搭便车控制方案,该方案可以简单地维持当前的信贷本地结构并利用信贷政策。大量的数值评估和仿真表明,该方案显着提高了系统的公平性。

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