基于网络的最优服务等级提升激励定价

Yue Xiao-ning, Jing Yuan-wei
{"title":"基于网络的最优服务等级提升激励定价","authors":"Yue Xiao-ning, Jing Yuan-wei","doi":"10.1109/CCDC.2009.5194686","DOIUrl":null,"url":null,"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.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Incentive pricing for optimal provisioning of service class promotion with network\",\"authors\":\"Yue Xiao-ning, Jing Yuan-wei\",\"doi\":\"10.1109/CCDC.2009.5194686\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":127110,\"journal\":{\"name\":\"2009 Chinese Control and Decision Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2009.5194686\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5194686","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

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。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Incentive pricing for optimal provisioning of service class promotion with network
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Observer-based H∞ control for discrete-time T-S fuzzy systems Soft sensor for distillation column feeds Design of temperature measure system for variable sensitive temperature range Wavelet neural network based fault diagnosis of asynchronous motor Analysis of the divert ability of atmospheric interceptors controlled by lateral jet thrusters
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1