A cloud-based synthetic seismogram generator implemented using Windows Azure
Po Chen1, En-Jui Lee1, Liqiang Wang2
1 Department of Geology and Geophysics, University of Wyoming, Laramie, WY 82071, USA 2 Department of Computer Science, University of Wyoming, Laramie, WY 82071, USA
A cloud-based synthetic seismogram generator implemented using Windows Azure
Po Chen1, En-Jui Lee1, Liqiang Wang2
1 Department of Geology and Geophysics, University of Wyoming, Laramie, WY 82071, USA 2 Department of Computer Science, University of Wyoming, Laramie, WY 82071, USA
摘要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.
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.
Po Chen, En-Jui Lee, Liqiang Wang. A cloud-based synthetic seismogram generator implemented using Windows Azure[J]. 《地震学报》英文版, 2013, 26(5): 321-329.
Po Chen, En-Jui Lee, Liqiang Wang. A cloud-based synthetic seismogram generator implemented using Windows Azure. Earthquake Science, 2013, 26(5): 321-329.
