Rapid 3D seismic source inversion using Windows Azure and Amazon EC2

Vedaprakash Subramanian, Hongyi Ma, Liqiang Wang, En Jui Lee, Po Chen

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

18 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE World Congress on Services, SERVICES 2011
Pages602-606
Number of pages5
DOIs
Publication statusPublished - 2011 Oct 6
Event2011 IEEE World Congress on Services, SERVICES 2011 - Washington, DC, United States
Duration: 2011 Jul 42011 Jul 9

Publication series

NameProceedings - 2011 IEEE World Congress on Services, SERVICES 2011

Other

Other2011 IEEE World Congress on Services, SERVICES 2011
CountryUnited States
CityWashington, DC
Period11-07-0411-07-09

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Rapid 3D seismic source inversion using Windows Azure and Amazon EC2'. Together they form a unique fingerprint.

Cite this