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» Data Management Challenges of Data-Intensive Scientific Work...
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2009
ACM
15 years 4 months ago
Exploring many task computing in scientific workflows
One of the main advantages of using a scientific workflow management system (SWfMS) to orchestrate data flows among scientific activities is to control and register the whole work...
Eduardo S. Ogasawara, Daniel de Oliveira, Fernando...
JCIT
2007
159views more  JCIT 2007»
14 years 9 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...
CLADE
2004
IEEE
15 years 1 months ago
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of
A key challenge faced by large-scale, distributed applications in Grid environments is efficient, seamless data management. In particular, for applications that can benefit from a...
Jithendar Paladugula, Ming Zhao 0002, Renato J. O....
SSDBM
2003
IEEE
160views Database» more  SSDBM 2003»
15 years 2 months ago
The Virtual Data Grid: A New Model and Architecture for Data-Intensive Collaboration
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
Ian T. Foster
89
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ITNG
2010
IEEE
15 years 1 months ago
Provenance Collection in Reservoir Management Workflow Environments
There has been a recent push towards applying information technology principles, such as workflows, to bring greater efficiency to reservoir management tasks. These workflows are d...
Fan Sun, Jing Zhao, Karthik Gomadam, Viktor K. Pra...