Long-term free-riding behavior of Peer to Peer(P2P) systems makes the system gradually lose its original distributed shared characteristics. In order to prevent selfish behaviors, a new evaluation model for P2P systems is proposed based on the characteristics of game theory suppression model and incentive-based node behavior model. The reputation value which reflects the period performance of users is adopted to characterize user-behavior, and some confinement conditions are set to prevent generating selfish nodes. The various kinds of incentive mechanisms in P2P systems are mathematically modeled and fitted with Auto-Regressive(AR) model. The simulation results based on this model show that the behavior of the system evaluation changes periodically;and the satisfaction is stabilized to a smooth number, 30%.%长期对等(P2P)系统中的搭便车行为使得系统渐渐失去了原来分布式共享的特点。为了抑制这种行为，提出了一种新的P2P系统评价模型。该模型基于博弈论抑制模型和节点行为的激励模型的特点，对用户行为采用信誉值进行评价，信誉值的表征体现用户阶段性的表现，并采取一定的限制抑制自私节点的产生。将该模型内的各种激励机制进行数学建模，并利用自回归(AR)模型进行拟合。仿真结果表明，在该模型下，系统的评价呈周期性变化，满意度趋于平稳，在30%左右。
展开▼
