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» Distributed Data Structure Design for Scientific Computation
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CCGRID
2010
IEEE
13 years 8 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
ESCIENCE
2006
IEEE
13 years 11 months ago
Scientific Workflows: More e-Science Mileage from Cyberinfrastructure
We view scientific workflows as the domain scientist's way to harness cyberinfrastructure for e-Science. Domain scientists are often interested in "end-to-end" fram...
Bertram Ludäscher, Shawn Bowers, Timothy M. M...
CCGRID
2004
IEEE
13 years 11 months ago
QoS support for high-performance scientific Grid applications
The Grid approach provides the ability to access and use distributed resources as part of virtual organizations. The emerging Grid infrastructure gives rise to a class of scientif...
Rashid J. Al-Ali, Gregor von Laszewski, Kaizar Ami...
GRID
2007
Springer
14 years 1 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...
SC
2009
ACM
14 years 2 months ago
Kepler + Hadoop: a general architecture facilitating data-intensive applications in scientific workflow systems
MapReduce provides a parallel and scalable programming model for data-intensive business and scientific applications. MapReduce and its de facto open source project, called Hadoop...
Jianwu Wang, Daniel Crawl, Ilkay Altintas