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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
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
HPDC
2005
IEEE
13 years 10 months ago
Cost-based scheduling for data-intensive applications on global grids
We present an algorithm for scheduling distributed data intensive Bag-of-Task applications on Data Grids that have costs associated with requesting, transferring and processing da...
Srikumar Venugopal, Rajkumar Buyya
MIDDLEWARE
2007
Springer
13 years 10 months ago
New Worker-Centric Scheduling Strategies for Data-Intensive Grid Applications
Distributed computations, dealing with large amounts of data, are scheduled in Grid clusters today using either a task-centric mechanism, or a worker-centric mechanism. Because of ...
Steven Y. Ko, Ramsés Morales, Indranil Gupt...
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...