Distributed GEP query optimization on grid service
邓勇1,王汝传2
1. 南京邮电大学
2. 南京邮电大学计算机学院
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.
关键词：
Distributed GEP query optimization on grid service
Abstract: 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.
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