Title :
Distributed GEP query optimization on grid service
Author :
Yong, Deng ; Ru-chuan, Wang
Author_Institution :
Coll. of Comput., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In order to better solve the problem of distributed query optimization, a querying optimization algorithm on GEP (QO-GEP) is present. On the basis of QO-GEP, distributed GEP query optimization on grid service (DGEPQO-GS) is proposed which combines with grid service. Simulated experiments shows that with the increment of the number of query relation, query time which QO-GEP carries out querying decreases apparently, meanwhile, with the number of grid nodes, the average querying success rate of DGEPQO-GS increases significantly.
Keywords :
grid computing; optimisation; query processing; DGEPQO-GS; QO-GEP; distributed GEP query optimization; gene expression programming; grid service; query relation; query time; querying optimization algorithm; Arithmetic; Distributed computing; Distributed databases; Educational institutions; Gene expression; Grid computing; Heuristic algorithms; Performance analysis; Query processing; Telecommunication computing; Distributed query; Gene expression programming; Grid service; Query relation;
Conference_Titel :
Future Computer and Communication (ICFCC), 2010 2nd International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5821-9
DOI :
10.1109/ICFCC.2010.5497582
