Rapid processing of synthetic seismograms using windows azure cloud

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

研究成果: Conference contribution

23 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings - 2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010
頁面193-200
頁數8
DOIs
出版狀態Published - 2010
事件2nd IEEE International Conference on Cloud Computing Technology and Science, CloudCom 2010 - Indianapolis, IN, United States
持續時間: 2010 11月 302010 12月 3

出版系列

名字Proceedings - 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
國家/地區United States
城市Indianapolis, IN
期間10-11-3010-12-03

All Science Journal Classification (ASJC) codes

  • 計算機理論與數學
  • 理論電腦科學

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