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采用定价机制的多媒体系统多资源分配算法
引用本文:陈俊杰,倪宏,孙鹏.采用定价机制的多媒体系统多资源分配算法[J].西安交通大学学报,2012,46(6):98-103.
作者姓名:陈俊杰  倪宏  孙鹏
作者单位:1. 中国科学院研究生院,100049,北京;中国科学院声学研究所,100190,北京;中国科学院国家网络新媒体工程技术研究中心,100190,北京
2. 中国科学院声学研究所,100190,北京;中国科学院国家网络新媒体工程技术研究中心,100190,北京
基金项目:国家科技支撑计划资助项目,国家自然科学基金资助项目
摘    要:针对多媒体系统多资源分配问题,提出了一种基于定价机制的多资源分配算法.假设资消耗函数是凸函数,从而推导出资源分配问题是凸规划问题,可以通过拉格朗日对偶分解理论求解,确定资源的价格并得到最优的资源分配.对于单资源分配问题,使用多标拍卖算法确定最优的资源分配.仿真实验结果表明:对于单资源分配问题,当任务的投标数大于15时,系统总的服务质量水平达到近似最优;对于多资源分配问题,基于定价机制的多资源分配算法性能优于现有算法,且算法复杂度更低.

关 键 词:多资源分配问题  凸规划问题  拉格朗日对偶分解  价格

Pricing Mechanism Based Multi-Resource Allocation for Multimedia System
CHEN Junjie , NI Hong , SUN Peng.Pricing Mechanism Based Multi-Resource Allocation for Multimedia System[J].Journal of Xi'an Jiaotong University,2012,46(6):98-103.
Authors:CHEN Junjie  NI Hong  SUN Peng
Institution:2,3(1.Graduate University of Chinese Academy of Sciences,Beijing 100049,China;2.Institute of Acoustic, Chinese Academy Sciences,Beijing 100190,China;3.National Network New Media Engineering Research Center,Chinese Academy Sciences,Beijing 100190,China)
Abstract:Aiming at multi-resource allocation in multimedia system,a multi-resource allocation algorithm based on pricing mechanism is proposed.Assuming that resource consumption function is convex,the resource allocation is derived as a convex programming.Lagrange dual decomposition theory is employed to solve resource allocation,and the price of resource and the optimal resource allocation are obtained.For a single resource allocation,multi-bid auction algorithm is chosen to achieve the optimal resource allocation.The simulation shows that for a single resource allocation,when the number of each task bids is greater than 15,the total QoS of the system is almost optimal.For a multiple resource allocation,the performance of the multi-resource allocation algorithm based on pricing mechanism is better than the existing algorithms,with a lower algorithm complexity.
Keywords:multi-resource allocation problem  convex programming problem  Lagrange dual decomposition  price
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