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| Titel |
Data access and analysis with distributed federated data servers in climateprediction.net |
| VerfasserIn |
N. Massey, T. Aina, M. Allen, C. Christensen, D. Frame, D. Goodman, J. Kettleborough, A. Martin, S. Pascoe, D. Stainforth |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1680-7340
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| Digitales Dokument |
URL |
| Erschienen |
In: Earth System Science Data access, distribution and use for education and research ; Nr. 8 (2006-06-06), S.49-56 |
| Datensatznummer |
250005309
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| Publikation (Nr.) |
 copernicus.org/adgeo-8-49-2006.pdf |
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| Zusammenfassung |
| climateprediction.net is a large public resource distributed scientific computing
project. Members of the public download and run a full-scale climate model,
donate their computing time to a large perturbed physics ensemble experiment
to forecast the climate in the 21st century and submit their results
back to the project. The amount of data generated is large, consisting of
tens of thousands of individual runs each in the order of tens of megabytes.
The overall dataset is, therefore, in the order of terabytes. Access and
analysis of the data is further complicated by the reliance on donated,
distributed, federated data servers. This paper will discuss the problems
encountered when the data required for even a simple analysis is spread
across several servers and how webservice technology can be used; how
different user interfaces with varying levels of complexity and flexibility
can be presented to the application scientists, how using existing web
technologies such as HTTP, SOAP, XML, HTML and CGI can engender the reuse of
code across interfaces; and how application scientists can be notified of
their analysis' progress and results in an asynchronous architecture. |
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