Clustering and visualization of earthquake data in a grid environment |
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Authors: | Dave A.Yuen Benjamin J. Kadlec Evan F. Bollig Witold Dzwinel Zachary A. Garbow Cesar R. S. da Silva |
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Affiliation: | (1) Department of Geology and Geophysics, University of Minnesota, Minneapolis, MN 55455-219, USA;(2) Minnesota Supercomputing Institute, University of Minnesota, Minneapolis, MN 55455–0219, USA;(3) AGH Institute of Computer Science, al. Mickiewicza 30, 30–059 Kraków, Poland;(4) Faculdade de Computacão, Universidade de Santo Amaro, Rua Isabel Schmidt, 349 São Paulo, Brazil |
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Abstract: | We present a web client-server service WEB-IS, which we have developed for remote analysis and visualization of seismic data consisting of both small magnitude events and large earthquakes. We show that the problem-solving environment (PSE) intended for prediction of large magnitude earthquakes can be based on this WEB-IS idea. The clustering schemes, feature generation, feature extraction techniques and rendering algorithms form a computational framework of this environment. On the other hand, easy and fast access both to the seismic data distributed among distant computing resources and to computational and visualization resources can be realized in a GRID framework. We discuss the usefulness of NaradaBrokering (iNtegrated Asynchronous Real-time Adaptive Distributed Architecture) as a middleware, allowing for flexibility and high throughput for remote visualization of geophysical data. The WEB-IS functionality was tested both on synthetic and the actual earthquake catalogs. We consider the application of similar methodology for tsunami alerts. |
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Keywords: | Earthquakes Seismic data Visualization Clustering PSE Grid computing |
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