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MIDDLEWARE
2007
Springer
13 years 11 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...
HPDC
2006
IEEE
13 years 11 months ago
Task Scheduling and File Replication for Data-Intensive Jobs with Batch-shared I/O
This paper addresses the problem of efficient 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,...
FGCS
2000
143views more  FGCS 2000»
13 years 4 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...
JCIT
2007
159views more  JCIT 2007»
13 years 4 months ago
GDIA: A Scalable Grid Infrastructure for Data Intensive Applications
The applications in many scientific fields, like bioinformatics and high-energy physics etc, increasingly demand the computing infrastructures can provide more computing power and...
Xiaohui Wei, Zhaohui Ding, Wilfred W. Li, Osamu Ta...
SAINT
2007
IEEE
13 years 11 months ago
Data Management on Grid Filesystem for Data-Intensive Computing
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...
Hitoshi Sato, Satoshi Matsuoka