A cloud-based synthetic seismogram generator implemented using Windows Azure

Synthetic seismograms generated by solving the seismic wave equation using numerical methods are being widely used in seismology. For fully three-dimensional seismic structure models, the generation of these synthetic seismograms may require large amount of computing resources. Conventional high-per...

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Bibliographic Details
Published inEarthquake science Vol. 26; no. 5; pp. 321 - 329
Main Authors Chen, Po, Lee, En-Jui, Wang, Liqiang
Format Journal Article
LanguageEnglish
Published Beijing Seismological Society of China 01.10.2013
Springer Nature B.V
Subjects
Cloud computing
Earth and Environmental Science
Earth Sciences
Earthquakes
Geophysics/Geodesy
Research Paper
Seismic waves
Seismology
Simulation
Cloud computing
Synthetic seismogram
Reciprocity
Windows Azure
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Summary:Synthetic seismograms generated by solving the seismic wave equation using numerical methods are being widely used in seismology. For fully three-dimensional seismic structure models, the generation of these synthetic seismograms may require large amount of computing resources. Conventional high-performance computer clusters may not provide a cost-effective solution to this type of applications. The newly emerging cloud-computing platform provides an alternative solution. In this paper, we describe our implementation of a synthetic seismogram generator based on the reciprocity principle using the Windows Azure cloud application framework. Our preliminary experiment shows that our cloud-based synthetic seismogram generator provides a cost-effective and numerically efficient approach for computing synthetic seismograms based on the reciprocity principle.
ISSN:1674-4519
1867-8777
DOI:10.1007/s11589-013-0038-8