A Strategy for Resource Allocation and Pricing in Grid Environment Based on Economic Model

被引:3
作者
Lu, Bin [1 ]
Ma, Jian-jing [1 ]
机构
[1] N China Elect Power Univ, Sch Comp Sci & Technol, Baoding, Peoples R China
来源
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词
Grid computing; economic model; utility function; resource allocation; dynamic price adjustment;
D O I
10.1109/CINC.2009.135
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The market mechanism based on price is imported into the traditional Grid architecture based on hierarchical model, and a Grid architecture based on economic model is constructed. Besides the time and cost, Grid users also concern about the use value of Grid resources. Accordingly, not only a utility function of Grid resource but also a utility function of Grid user having the Cobb-Douglas form is constructed. And the latter can express different preferences and targets of Grid users. The Lagrange method is utilized to solve the optimization problem of utility function. In addition, a strategy for resource allocation and pricing based on utility function optimization is proposed. Finally, performance and efficiency of Grid tasks and resources mapping algorithm proposed in this paper is analyzed through the simulation experiment.
引用
收藏
页码:221 / 224
页数:4
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