基于Stackelberg Game模型的网络性能研究

Research on Network Performance Based on Stackelberg Game Model

通过对多局域世界模型(Multi-Local-World Model,MLWM)的分析,抽取出一个基本的拓扑子结构,并将主从博弈的思想引入到网络流量控制中,建立了一个基于网络拓扑的Stackelberg博弈模型.在该模型下,分析了Nash均衡的存在性与唯一性,求出了Nash均衡时最佳的链路价格和流量,给出了网络最佳运行状态的一种定量描述,最后分析了网络拓扑参数对网络最佳运行状态的影响,研究了该模型下网络拓扑变化引起的网络性能的演化特性.

Through analyzing the topology generated by multi-local-world model,we extract a basic topology substructure.A Stackelberg Game model based on network topology was built by employing the Stackelberg Game to flow control in network.Based on this model,the existence and uniqueness of Nash equilibrium was analyzed and the best line price and flow under the Nash equilibrium state were obtained.Then,a quantitative description of the network＇s best running was got.Finally,the effect of network topology parameters on the best run state was analyzed and network evolutional characteristic caused by the network changing topology was studied.