Distributed GEP query optimization on grid service

作     者：DENG Yong, WANG Ru-chuan College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China 

作者机构：College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China 

出 版 物：《The Journal of China Universities of Posts and Telecommunications》 (中国邮电高校学报（英文版）)

年 卷 期：2010年第17卷第3期

页      面：118-122,128页

核心收录：

学科分类：08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 

基　　金：supported by the National Natural Science Foundation of China (60973139, 60773041) the Natural Science Foundation of Jiangsu Province (BK2008451) Special Fund for Software Technology of Jiangsu Province Special Fund for the Development of Modern Service Industry of Jiangsu Province Fund of Jiangsu Provincial Key Laboratory for Computer Information Processing Technology Postdoctoral Foundation (0801019C, 20090451240, 20090451241) Science & Technology Innovation Fund for higher education institutions of Jiangsu Province (CX09B_153Z, CX08B_086Z) the six kinds of Top Talent of Jiangsu Province (2008118) 

主　　题：gene expression programming distributed query grid service query relation 

摘      要：In order to better solve the problem of distributed query optimization, a query optimization algorithm on gene expression programming （GEP） （QO-GEP） is presented. On the basis of QO-GEP, distributed GEP query optimization on grid service （DGEPQO-GS） is proposed which combines grid service. Simulated experiments show that with the increment of the number of query relation, query time which QO-GEP carries out query decreases apparently. Meanwhile, with the increase of the number of grid nodes, the average querying success rate of DGEPQO-GS increases significantly.