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» GDIA: A Scalable Grid Infrastructure for Data Intensive Appl...
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93
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CCGRID
2007
IEEE
15 years 3 months ago
Active Data: Supporting the Grid Data Life Cycle
Scientific applications often involve computation intensive workflows and may generate large amount of derived data. In this paper we consider a life cycle, which starts when the ...
Tim Ho, David Abramson
CCGRID
2006
IEEE
15 years 3 months ago
Using Multiple Grid Resources for Bioinformatics Applications in GADU
During the past decade, the scientific community has witnessed the rapid accumulation of gene sequence data and data related to physiology and biochemistry of organisms. Bioinform...
Dinanath Sulakhe, Alex Rodriguez, Michael Wilde, I...
93
Voted
FGCS
2000
143views more  FGCS 2000»
14 years 9 months ago
A data intensive distributed computing architecture for "Grid" applications
Modern scientific computing involves organizing, moving, visualizing, and analyzing massive amounts of data from around the world, as well as employing large-scale computation. The...
Brian Tierney, William E. Johnston, Jason Lee, Mar...
90
Voted
JPDC
2011
219views more  JPDC 2011»
14 years 4 months ago
BlobSeer: Next-generation data management for large scale infrastructures
As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing...
Bogdan Nicolae, Gabriel Antoniu, Luc Bougé,...
CCGRID
2010
IEEE
14 years 7 months ago
Dynamic Load-Balanced Multicast for Data-Intensive Applications on Clouds
Data-intensive parallel applications on clouds need to deploy large data sets from the cloud's storage facility to all compute nodes as fast as possible. Many multicast algori...
Tatsuhiro Chiba, Mathijs den Burger, Thilo Kielman...