Rapid processing of synthetic seismograms using windows azure cloud

Vedaprakash Subramanian, Liqiang Wang, En-Jui Lee, Po Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Citations (Scopus)

Abstract

Currently, numerically simulated synthetic seismograms are widely used by seismologists for seismological inferences. The generation of these synthetic seismograms requires large amount of computing resources, and the maintenance of these observed seismograms requires massive storage. Traditional high-performance computing platforms is inefficient to handle these applications because rapid computations are needed and large-scale datasets should be maintained. The emerging cloud computing platform provides an efficient substitute. In this paper, we introduce our experience on implementing a computational platform for rapidly computing and delivering synthetic seismograms on Windows Azure. Our experiment shows that cloud computing is an ideal platform for such kind of applications.

Original languageEnglish
Title of host publicationProceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010
Pages193-200
Number of pages8
DOIs
Publication statusPublished - 2010 Dec 1
Event2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 - Indianapolis, IN, United States
Duration: 2010 Nov 302010 Dec 3

Publication series

NameProceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010

Other

Other2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010
CountryUnited States
CityIndianapolis, IN
Period10-11-3010-12-03

Fingerprint

Cloud computing
Cloud Computing
Computing
Processing
Substitute
Maintenance
High Performance
Resources
Experiments
Experiment

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

Cite this

Subramanian, V., Wang, L., Lee, E-J., & Chen, P. (2010). Rapid processing of synthetic seismograms using windows azure cloud. In Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 (pp. 193-200). [5708451] (Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010). https://doi.org/10.1109/CloudCom.2010.110
Subramanian, Vedaprakash ; Wang, Liqiang ; Lee, En-Jui ; Chen, Po. / Rapid processing of synthetic seismograms using windows azure cloud. Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010. 2010. pp. 193-200 (Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010).
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Subramanian, V, Wang, L, Lee, E-J & Chen, P 2010, Rapid processing of synthetic seismograms using windows azure cloud. in Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010., 5708451, Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010, pp. 193-200, 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010, Indianapolis, IN, United States, 10-11-30. https://doi.org/10.1109/CloudCom.2010.110

Rapid processing of synthetic seismograms using windows azure cloud. / Subramanian, Vedaprakash; Wang, Liqiang; Lee, En-Jui; Chen, Po.

Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010. 2010. p. 193-200 5708451 (Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Subramanian V, Wang L, Lee E-J, Chen P. Rapid processing of synthetic seismograms using windows azure cloud. In Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010. 2010. p. 193-200. 5708451. (Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010). https://doi.org/10.1109/CloudCom.2010.110