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iSERVO: Implementing the International Solid Earth Research Virtual Observatory by Integrating Computational Grid and Geographical Information Web Services |
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| Authors: | Mehmet Aktas Galip Aydin Andrea Donnellan Geoffrey Fox Robert Granat Lisa Grant Greg Lyzenga Dennis McLeod Shrideep Pallickara Jay Parker Marlon Pierce John Rundle Ahmet Sayar Terry Tullis |
| Institution: | 1. Community Grids Lab, Indiana University, Bloomington, 47404-3730, IN 2. NASA Jet Propulsion Laboratory, Mail Stop 183-335, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099, USA 3. Community Grids Laboratory, Departments of Computer Science, Physics, and School of Informatics, Indiana University, Bloomington, Indiana, 47404-3730, USA 4. NASA JPL, Mail Stop 126-347, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099 5. Environmental Analysis and Design, University of California-Irvine, Irvine, California, 92697-7070, USA 6. NASA JPL, Mail Stop 126-347, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099 7. University of Southern Califoria, Mail Code 0781, 3651 Trousdale Parkway, Los Angeles, CA, 90089-0742 8. NASA Jet Propulsion Laboratory, Mail Stop 238-600, 4800 Oak Grove Drive, Pasadena, CA, 91109-8099, USA 9. Community Grids Laboratory, Indiana University, Bloomington, Indiana, 47404-3730, USA 10. Department of Physics, University of California-Davis, One Shields Avenue, Davis, CA, 95616-8677, USA 11. Department of Geological Sciences, Brown University, Providence, RI, 02912-1846, USA |
| Abstract: | We describe the goals and initial implementation of the International Solid Earth Virtual Observatory (iSERVO). This system is built using a Web Services approach to Grid computing infrastructure and is accessed via a component-based Web portal user interface. We describe our implementations of services used by this system, including Geographical Information System (GIS)-based data grid services for accessing remote data repositories and job management services for controlling multiple execution steps. iSERVO is an example of a larger trend to build globally scalable scientific computing infrastructures using the Service Oriented Architecture approach. Adoption of this approach raises a number of research challenges in millisecond-latency message systems suitable for internet-enabled scientific applications. We review our research in these areas. |
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