Incentive pricing for optimal provisioning of service class promotion with network

Yue Xiao-ning, Jing Yuan-wei
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引用次数: 1

Abstract

The dynamic pricing management strategy of network system is established in this paper. By introducing the Cobb - Douglas demand function and using the optimization theory and economic boundary theory, the scalable connection management strategy for QoS-enabled networks is studied to make the benefits of the network system and non-cooperative users maximizing and the calculation methods are presented to give the optimal provisioning and dynamic pricing of multiple service classes networks. In order to encourage and guide the non-cooperative users to select the serving request, which is stable at the optimal provisioning of the network system, the nonlinear and crossly influencing incentive pricing strategy is given by introducing the idea of game theory. The users will be amerced in economy when the demand of users deviate the expectation, this will be benefit to increase the rate of network resource using. This management strategy meets the demands of an increasing number of network users as well as a wide variety of network applications. The rationality and validity is verified by the simulator example.
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基于网络的最优服务等级提升激励定价
本文建立了网络系统的动态定价管理策略。通过引入Cobb - Douglas需求函数,运用优化理论和经济边界理论,研究了qos网络的可扩展连接管理策略,使网络系统和非合作用户的利益最大化,并给出了多业务类别网络的最优供给和动态定价的计算方法。为了鼓励和引导非合作用户选择在网络系统最优供给时稳定的服务需求,引入博弈论思想,给出了非线性交叉影响激励定价策略。当用户的需求偏离预期时,用户将在经济上受到补偿,这将有利于提高网络资源的利用率。这种管理策略既满足了越来越多的网络用户的需求,也满足了各种网络应用的需求。通过仿真算例验证了该方法的合理性和有效性。
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