The Application of Cloud Computing in Large-Scale Statistic

被引：0
|
作者：
Sun Xiuli [1 ]
Li Ying [2 ]
Hu Baofang [2 ]
Sun Hongfeng [2 ]
机构：
[1] Shandong Womens Univ, Jinan, Shandong, Peoples R China
[2] Shandong Womens Univ, Dept Informat Technol, Jinan, Peoples R China
来源：
PROCEEDINGS OF THE 1ST INTERNATIONAL WORKSHOP ON CLOUD COMPUTING AND INFORMATION SECURITY (CCIS 2013) | 2013年 / 52卷
关键词：
statistical analysis; cloud computing; double-target genetic algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The main challenge in current statistical work is the huge pressure of the statistical analysis along with the huge amount and diversity of the statistical data. This paper established a framework model of large-scale data processing by bringing in cloud computing. By studying the resource allocation algorithm of cloud computing, we proposed an accelerating genetic algorithm of double-target fitness function which considered the safety of statistical data and the responding time of work, as well as analyzed the convergence speeds of the algorithm in various weights in order to test each target's effect on iterations.
引用
收藏
页码：308 / 311
页数：4
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