基于完全图网络的镜像激励机制研究

Study of Mirror Incentive Policy Based on Complete Graph Network

对等网络中引入激励机制,目的是促进节点之间互相提供服务。以镜像激励机制为例,构建了基于完全图网络的框架分析系统,提出了一种结合数学模型的实验仿真方法。求得了系统演化稳定时各种类型节点数量所占的比例。探讨了激励系数、不同类型节点数量初始比例与激励效果的关系。对判断激励机制是否有效以及区分影响结果的因素具有一定借鉴作用。

The purpose of using incentive policy in peer-to-peer networks is to promote the mutual provision of services between nodes.Taking the mirror incentive policy as an example,a framework analysis system based on complete graph network is constructed and an experimental simulation method combined with the mathematic model is proposed.The proportion of the number of different types of nodes is obtained when the system is stably.The affecting for the incentive effect about the incentive coefficient and the initial proportion of different types of nodes t is discussed.It is helpful to judge whether the incentive policy is effective and to distinguish the factors affecting the results.