基于多服务等级随机网络系统价控策略分析

Analysis of Price Strategy Base on Multi-class Quality of Service Stochastic Network Systems

引进多服务等级随机网络系统的用户需求量与价格模型,讨论了定价策略问题,同时给出了用户需求量的无偏估计.对于用户呼叫到达时间服从于几何分布的网络系统,制定了静态无激励定价策略.对一般较复杂网络模型制定了动态定价策略,该策略可调整用户需求估计量均值,使网络取到最大收入.由于用户需求量是一随机变量,对系统施加点激励价控策略,激励和引导用户选择对网络整体有利的服务请求.建立的定价策略,可提高网络资源的利用率,控制网络拥塞,较适合于目前网络日益发展的需要.

By introducing the demand of user and pricing model for multi-class quality of service stochastic network systems, discusses the problems of pricing strategy, and gives the agonic estimate of demand of consumers. Designs static and pricing strategy for the system that the call-arriving time of a call is a geometric distribution, and designs the dynamic pricing strategy, which is applicable to the complex systems. The average demand estimates are adjustable by the dynamic pricing strategy in order to make the profit of the networks system maximizing. Because the demand is stochastic, the incentive pricing control strategy is given to encourage and guide the non-cooperative users to select the serving request, which is helpful to the network system. The given pricing strategies will be benefit to increase the rate of network resource using, to control congestion of network, the need of increasingly develop of network.