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MIDDLEWARE
2007
Springer
14 years 1 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
14 years 1 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 7 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 7 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
14 years 1 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