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.
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.
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)
