Rough Set-based Intelligent Agent Grid Data Management

摘要：

This paper proposed an intelligent agent Grid data management method based on Rough Set. It can effectively classify data based on attributes reduction in Rough Set. After obtaining the classified data sets, it dispatches a collection of agents to coordinate a user job over grid computing to process the certain data sets. Our method can well resolve the main problems exist in Grid data management. The experimental results indicates our proposed approach can reduce about sixteen percent implement time comparing to general grid data management without rough set classification.

作者: Jia Chen Di Liu

作者单位: IBM Technology Center of Computer Science Dept.of University of Electronic Science and Technology of China, 610054, ChengDu, China

会议类型: 国际会议

会议名称: 2007年通信、电路与系统国际会议(2007 International Conference on Communications,Circuits and Systems Proceedings)

会议地点: 日本福冈

会议语种:英文

在线出版日期: 2007-07-11（万方平台首次上网日期，不代表论文的发表时间）