Grid resource scheduling strategy based on Elite DNA genetic algorithm

被引：1

作者：

Jun, Xue Sheng ^{[1
]}

Wei, Qi ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Dept Comp Sci & Technol, Nanjing 210044, Peoples R China

来源：

ADVANCED RESEARCH ON INDUSTRY, INFORMATION SYSTEMS AND MATERIAL ENGINEERING, PTS 1-7 | 2011年 / 204-210卷

关键词：

Grid computing; Genetic algorithm; Resource scheduling; Cross Selection of the best preserved;

D O I：

10.4028/www.scientific.net/AMR.204-210.1594

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Traditional resource scheduling algorithm, in grid environment, exist some defects, for example it can not well meet the quality requirements and can not get the optimal solution. This article gives a new resource scheduling method based on improved genetic algorithm. It achieves grid resource scheduling by using real number encoding and activities point crossover. Experiments show that genetic algorithm can reduce executing time and task completion time, and further improve the scalability of resource scheduling model. This algorithm has stability and high efficiency in grid environment.

引用

页码：1594 / 1598

页数：5

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