基于动态调控的网络价格策略  

Pricing strategy of network based on dynamic control

作　　者：井元伟[1] 何凌[1] 杨木易[1] 朱海煜[1] 

机构地区：[1]东北大学信息科学与工程学院,沈阳110004

出　　处：《控制与决策》2007年第8期939-942,950,共5页Control and Decision

基　　金：国家自然科学基金项目(60274099);教育部暨辽宁省流程工业综合自动化重点实验室开放课题项目

摘　　要：针对目前网络定价中常用的平坦式计费策略下网络中存在的用户方与网络系统整体优化目标不一致的问题,将资源占用率引入价格函数,提出了两种动态调节的价格策略.在第1种策略中,将固定价格变为以资源占用率为变量的实时价格函数;在第2种策略中,引用对策论中的激励Stackelberg策略,激励用户达到系统的目标值.所提出的策略保证了用户与系统同时达到优化目标,并促进了网络的合理分配.数值例子和仿真证明了两种策略的有效性.The variance of the optimized goal between the system and the users of network under the flat pricing strategy is discussed. The resource occupancy rate is introduced into the pricing function, and two dynamic pricing strategies are presented. In the first strategy, the fixed price is substituted by the real time pricing function which uses the resource occupancy rate as the variable. In the second one, the Stackelberg incentive strategy in game theory is introduced to prompt the users to achieve the system target value. The two strategies ensure that the users and the system achieve the optimized target value at the same time. And the network resource can be sufficiently used. The simulation example shows the effectiveness of the two pricing strategies.

关 键 词：拥塞 动态调控 价控 资源占用率 激励Stackelberg策略 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]