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Integrating Data Grid and Web Services for E-Science Applications: A Case Study of Exploring Species Distributions

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6 Author(s)
Jianting Zhang ; the University of New Mexico, USA ; Altintas, I. ; Jing Tao ; Xianhua Liu
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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.

Published in:

e-Science and Grid Computing, 2006. e-Science '06. Second IEEE International Conference on

Date of Conference:

Dec. 2006