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Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions
Amsterdam, Netherlands December 04-December 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/E-SCIENCE.2006.90Second IEEE International Conference ...
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Jianting Zhang, the University of New Mexico, USA
Ilkay Altintas, UC San Diego, USA
Jing Tao, UC Santa Barbara, USA
Xianhua Liu, the University of North Carolina, USA
Deana D. Pennington, the University of New Mexico, USA
William K. Michener, the University of New Mexico, USA
Data Grid and Web Services are among the advanced computing technologies that are available to support scientists and scientific applications. We use Kepler scientific workflow system to integrate the two popular technologies for e-science applications. A prototype system for exploring species distribution patterns has been developed for demonstration purposes by using data grid resources and a similarity-based clustering Web service in conjunction with Geographical Information System (GIS) based spatial visualization resources in Kepler.
Citation:
Jianting Zhang, Ilkay Altintas, Jing Tao, Xianhua Liu, Deana D. Pennington, William K. Michener, "Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions," e-science, pp.31, Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006
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