P2P环境中基于信号博弈论的资源定价机制

针对对等(P2P)网络系统资源交易中的信息不对称性问题,提出了基于信号博弈论的资源定价机制.用信号传递模型削弱信息不对称性,使得资源需求者可以辨识资源的质量,同时通过调价机制调整资源的价格.仿真试验表明,本文的定价机制可以有效的区分资源质量,最终资源的价格与其实际质量相一致,因此资源需求者可以辨识资源的质量从而愿意合理付费,繁荣了资源市场.

The signal game based pricing mechanism in P2P computing resource system

In the P2P system,because of the information asymmetric between the provider and consumer(also know as applicant),the resource owner will know more about the quality of the resource than the consumer,thus the consumer will pay a little or nothing for the resource,then,the high quality will leave the resource market,there will only the low quality resource in the market.This paper proposes a signal game based pricing mechanism to mitigate the information asymmetric,it help the consumer to distinguish the quality of the resource with same price.At the same time,the price adjustment mechanism can use to adjust the price of the resource.Our simulation suggests our pricing mechanism can effectively distinguish the quality of the resource,at last,the price of the resource is consistent with the resource quality.Consequently,the consumers know the real quality of the resource and would like to pay for the resource,enlarging the resource market.