DocumentCode :
3239760
Title :
Research of Grid Platform Oriented to Intensive Data Processing
Author :
OuYang, Ya ; Yang, Lu ; Sun, Rui-zhi
Author_Institution :
Coll. of Inf. & Electr. Eng., China Agric. Univ. Beijing, Beijing
fYear :
2008
fDate :
24-26 Oct. 2008
Firstpage :
226
Lastpage :
231
Abstract :
Aiming at intensive data processing in grid environment, a grid platform IDPGP is constructed based on Globus Toolkit 4, OGSA-DAI, Condor and PBS. This platform mainly provides grid information acquirement service, grid resource management service, data access and integration service, which can realize grid resources sharing, intensive data access and processing. In the grid resource management service, a resource management model for grid computing based on hierarchical model is designed to ensure consistency and manageability of each virtual domain and enhance scalability and fault-tolerability of the entire platform.
Keywords :
grid computing; information services; resource allocation; software fault tolerance; Condor; Globus Toolkit 4; OGSA-DAI; PBS; fault tolerability; grid computing; grid environment; grid information acquirement service; grid platform IDPGP; grid resource management service; grid resources sharing; hierarchical model; integration service; intensive data access; intensive data processing; resource management model; virtual domain; Biological system modeling; Computer applications; Computer architecture; Data processing; Distributed computing; Grid computing; Power system management; Processor scheduling; Resource management; Workstations; data access and integration; grid platform; grid resource management; hierarchical model; intensive data;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grid and Cooperative Computing, 2008. GCC '08. Seventh International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-0-7695-3449-7
Type :
conf
DOI :
10.1109/GCC.2008.112
Filename :
4662869
Link To Document :
بازگشت