TY - GEN
T1 - Rapid 3D seismic source inversion using Windows Azure and Amazon EC2
AU - Subramanian, Vedaprakash
AU - Ma, Hongyi
AU - Wang, Liqiang
AU - Lee, En Jui
AU - Chen, Po
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
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U2 - 10.1109/SERVICES.2011.90
DO - 10.1109/SERVICES.2011.90
M3 - Conference contribution
AN - SCOPUS:80053434729
SN - 9780769544618
T3 - Proceedings - 2011 IEEE World Congress on Services, SERVICES 2011
SP - 602
EP - 606
BT - Proceedings - 2011 IEEE World Congress on Services, SERVICES 2011
T2 - 2011 IEEE World Congress on Services, SERVICES 2011
Y2 - 4 July 2011 through 9 July 2011
ER -