Rapid 3D Seismic Source Inversion Using Windows Azure and Amazon EC2

With its rapid development, cloud computing has been increasingly adopted by scientists for large-scale scientific computation. Compared to the traditional computing platforms such as cluster and supercomputer, cloud computing is more elastic in the support of real-time computation and more powerful...

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Bibliographic Details
Published in2011 IEEE World Congress on Services pp. 602 - 606
Main Authors Subramanian, V., Hongyi Ma, Liqiang Wang, En-Jui Lee, Po Chen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Amazon EC2
Cloud computing
Conferences
Earthquakes
HPC
Real time systems
Solid modeling
Supercomputers
Three dimensional displays
Windows Azure
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Summary:With its rapid development, cloud computing has been increasingly adopted by scientists for large-scale scientific computation. Compared to the traditional computing platforms such as cluster and supercomputer, cloud computing is more elastic in the support of real-time computation and more powerful in the management of large-scale datasets. This paper presents our experience on designing and implementing seismic source inversion on both cluster (specifically, MPI-based) and cloud computing (specifically, Amazon EC2 and Microsoft Windows Azure). Our experiment shows that applying cloud computing to seismic source inversion is feasible and has its advantages. In addition, we notice that both cluster and Amazon EC2 have obviously better performance than Windows Azure. Cloud computing is suited for real-time processing scientific applications but it (especially Azure) does not work well for tightly-coupled applications.
ISBN:1457708795
9781457708794
ISSN:2378-3818
DOI:10.1109/SERVICES.2011.90