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HPDC
2002
IEEE
9 years 4 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
8 years 11 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
2006
IEEE
9 years 5 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of ef´Čücient execution of a batch of data-intensive tasks with batch-shared I/O behavior, on coupled storage and compute clusters. Two scheduling...
Gaurav Khanna 0002, Nagavijayalakshmi Vydyanathan,...
HPCN
1999
Springer
9 years 3 months ago
Data Intensive Distributed Computing; A Medical Application Example
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...
Jason Lee, Brian Tierney, William E. Johnston
FGCS
2000
143views more  FGCS 2000»
8 years 11 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...
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