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GRID
2006
Springer
13 years 4 months ago
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
Existing data grid scheduling systems handle huge data I/O via replica location services coupled with simple staging, decoupled from scheduling of computing tasks. However, when th...
Yuya Machida, Shin'ichiro Takizawa, Hidemoto Nakad...
JCIT
2007
159views more  JCIT 2007»
13 years 4 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...
FGIT
2011
Springer
12 years 4 months ago
Performance Evaluation of MapReduce Applications on Cloud Computing Environment, FutureGrid
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive...
Yunhee Kang, Geoffrey C. Fox
CLUSTER
2008
IEEE
13 years 11 months ago
Supporting storage resources in Urgent Computing Environments
Abstract—The Special PRiority and Urgent Computing Environment (SPRUCE) provides on-demand access to highperformance computing resources for time-critical applications. While SPR...
Jason Cope, Henry M. Tufo
GRID
2008
Springer
13 years 6 months ago
Grid service hosting on virtual clusters
This paper presents an architecture for service hosting on virtual clusters spanning multiple administrative domains that balances the requirements of application developers and r...
Bobby House, Paul Marshall, Michael Oberg, Henry M...