316 search results - page 2 / 64 » Decoupling Computation and Data Scheduling in Distributed Da... |
GRID
2006
Springer
13 years 9 months ago
2006
Springer
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...
SAINT
2007
IEEE
14 years 3 months ago
2007
IEEE
In parallel computing environments such as HPC clusters and the Grid, data-intensive applications involve large overhead costs due to a concentration of access to the files on co...
MIDDLEWARE
2007
Springer
14 years 3 months ago
2007
Springer
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 ...
HPDC
1998
IEEE
14 years 1 months ago
1998
IEEE
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing largescale computation. The...
CCGRID
2010
IEEE
13 years 6 months ago
2010
IEEE
This paper studies five real-world data intensive workflow applications in the fields of natural language processing, astronomy image analysis, and web data analysis. Data intensiv...