A cloud-based synthetic seismogram generator implemented using Windows Azure

Po Chen, En Jui Lee, Liqiang Wang

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)321-329
Number of pages9
JournalEarthquake Science
Volume26
Issue number5
DOIs
Publication statusPublished - 2013 Oct

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics
  • Geology

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