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» Distributed Data Management in Workflow Environments
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CCGRID
2010
IEEE
13 years 11 months ago
Streamflow Programming Model for Data Streaming in Scientific Workflows
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Chathura Herath, Beth Plale
OTM
2007
Springer
14 years 3 months ago
Semantically Resolving Type Mismatches in Scientific Workflows
Scientists are increasingly utilizing Grids to manage large data sets and execute scientific experiments on distributed resources. Scientific workflows are used as means for modeli...
Kheiredine Derouiche, Denis A. Nicole
CORR
2010
Springer
148views Education» more  CORR 2010»
13 years 10 months ago
Data Sharing Options for Scientific Workflows on Amazon EC2
Efficient data management is a key component in achieving good performance for scientific workflows in distributed environments. Workflow applications typically communicate data be...
Gideon Juve, Ewa Deelman, Karan Vahi, Gaurang Meht...
HPDC
2010
IEEE
13 years 11 months ago
Data parallelism in bioinformatics workflows using Hydra
Large scale bioinformatics experiments are usually composed by a set of data flows generated by a chain of activities (programs or services) that may be modeled as scientific work...
Fábio Coutinho, Eduardo S. Ogasawara, Danie...
GRID
2007
Springer
14 years 4 months ago
Data placement for scientific applications in distributed environments
— Scientific applications often perform complex computational analyses that consume and produce large data sets. We are concerned with data placement policies that distribute dat...
Ann L. Chervenak, Ewa Deelman, Miron Livny, Mei-Hu...