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GRID
2006
Springer
13 years 4 months ago
Simultaneous Scheduling of Replication and Computation for Data-Intensive Applications on the Grid
One of the first motivations of using grids comes from applications managing large data sets in field such as high energy physics or life sciences. To improve the global throughput...
Frederic Desprez, Antoine Vernois
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...
HPDC
2002
IEEE
13 years 9 months ago
Decoupling Computation and Data Scheduling in Distributed Data-Intensive Applications
In high energy physics, bioinformatics, and other disciplines, we encounter applications involving numerous, loosely coupled jobs that both access and generate large data sets. So...
Kavitha Ranganathan, Ian T. Foster
CCGRID
2003
IEEE
13 years 10 months ago
Chameleon: A Resource Scheduler in A Data Grid Environment
Grid computing is moving into two ways. The Computational Grid focuses on reducing execution time of applications that require a great number of computer processing cycles. The Da...
Sang-Min Park, Jai-Hoon Kim
ISMDA
2005
Springer
13 years 10 months ago
Simultaneous Scheduling of Replication and Computation for Bioinformatic Applications on the Grid
Abstract. One of the first motivations of using grids comes from applications managing large data sets like for example in High Energy Physic or Life Sciences. To improve the glob...
Frederic Desprez, Antoine Vernois, Christophe Blan...