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CCGRID
2002
IEEE
14 years 20 days ago
Grid Datafarm Architecture for Petascale Data Intensive Computing
Osamu Tatebe, Youhei Morita, Satoshi Matsuoka, Nor...
CLADE
2003
IEEE
14 years 1 months ago
Issues in Runtime Algorithm Selection for Grid Environments
The heterogeneity and unpredictability of grid computing environments is a severe challenge to algorithm selection for large-scale scientific codes. This paper discusses a set of ...
Prachi Bora, Calvin J. Ribbens, Sandeep Prabhakar,...
ICPPW
2003
IEEE
14 years 1 months ago
Grid Computing Pool and Its Framework
The aim of Grid Computing Pool (GCP) is to integrate heterogeneous large-scale computing devices and famous computing tools into a virtual supercomputer by using grid technology. ...
Yongwei Wu, Guangwen Yang, Jiayin Mao, Shuming Shi...
JCIT
2007
159views more  JCIT 2007»
13 years 7 months ago
GDIA: A Scalable Grid Infrastructure for Data Intensive Applications
The applications in many scientific fields, like bioinformatics and high-energy physics etc, increasingly demand the computing infrastructures can provide more computing power and...
Xiaohui Wei, Zhaohui Ding, Wilfred W. Li, Osamu Ta...
EGC
2005
Springer
14 years 1 months ago
Fault Tolerance in the R-GMA Information and Monitoring System
R-GMA (Relational Grid Monitoring Architecture) [1] is a grid monitoring and information system that provides a global view of data distributed across a grid system. R-GMA creates ...
Rob Byrom, Brian A. Coghlan, Andrew W. Cooke, Rone...