DocumentCode :
2798168
Title :
An Intelligent Replication Framework for Data Grids
Author :
Elghirani, Ali ; Zomaya, Albert Y. ; Subrata, Riky
Author_Institution :
Univ. of Sydney, Sydney
fYear :
2007
fDate :
13-16 May 2007
Firstpage :
351
Lastpage :
358
Abstract :
Data grid systems are evolving as prominent platforms of choice for many scientific disciplines. Many of the experiments and applications of such disciplines require use of huge amounts of data located at geographically distributed locations. In this paper, we present an intelligent data and replica management framework coupled with computational job scheduling, to provide an integrated environment for efficient access to data and job scheduling. The main goal of our approach is to build a replica management service that integrates replica placement optimization mechanisms, and dynamic replication techniques, coupled with computation and job scheduling algorithms to provide better system performance in data grids. We evaluate our framework on a Data Grid model adopted from the Eu-Data grid project. Our results show promising improvement in the performance of the grid and job execution time.
Keywords :
grid computing; scheduling; Data Grid model; Eu-Data grid project; computational job scheduling; data grid systems; dynamic replication; geographically distributed locations; intelligent data management; intelligent replication framework; replica management; replica placement optimization; Bioinformatics; Computational intelligence; Delay; Distributed computing; Environmental management; Grid computing; High energy physics instrumentation computing; Processor scheduling; System performance; Wide area networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Systems and Applications, 2007. AICCSA '07. IEEE/ACS International Conference on
Conference_Location :
Amman
Print_ISBN :
1-4244-1030-4
Electronic_ISBN :
1-4244-1031-2
Type :
conf
DOI :
10.1109/AICCSA.2007.370905
Filename :
4230980
Link To Document :
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