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Title: Exploring Cloud Computing for Large-scale Scientific Applications

Abstract

This paper explores cloud computing for large-scale data-intensive scientific applications. Cloud computing is attractive because it provides hardware and software resources on-demand, which relieves the burden of acquiring and maintaining a huge amount of resources that may be used only once by a scientific application. However, unlike typical commercial applications that often just requires a moderate amount of ordinary resources, large-scale scientific applications often need to process enormous amount of data in the terabyte or even petabyte range and require special high performance hardware with low latency connections to complete computation in a reasonable amount of time. To address these challenges, we build an infrastructure that can dynamically select high performance computing hardware across institutions and dynamically adapt the computation to the selected resources to achieve high performance. We have also demonstrated the effectiveness of our infrastructure by building a system biology application and an uncertainty quantification application for carbon sequestration, which can efficiently utilize data and computation resources across several institutions.

Authors:
; ; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1111221
Report Number(s):
PNNL-SA-94663
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: IEEE Ninth World Congress on Services (SERVICES 2013), June 28-July 2, 2013, Santa Clara, California, 37-43
Country of Publication:
United States
Language:
English

Citation Formats

Lin, Guang, Han, Binh, Yin, Jian, and Gorton, Ian. Exploring Cloud Computing for Large-scale Scientific Applications. United States: N. p., 2013. Web. doi:10.1109/SERVICES.2013.13.
Lin, Guang, Han, Binh, Yin, Jian, & Gorton, Ian. Exploring Cloud Computing for Large-scale Scientific Applications. United States. doi:10.1109/SERVICES.2013.13.
Lin, Guang, Han, Binh, Yin, Jian, and Gorton, Ian. Thu . "Exploring Cloud Computing for Large-scale Scientific Applications". United States. doi:10.1109/SERVICES.2013.13.
@article{osti_1111221,
title = {Exploring Cloud Computing for Large-scale Scientific Applications},
author = {Lin, Guang and Han, Binh and Yin, Jian and Gorton, Ian},
abstractNote = {This paper explores cloud computing for large-scale data-intensive scientific applications. Cloud computing is attractive because it provides hardware and software resources on-demand, which relieves the burden of acquiring and maintaining a huge amount of resources that may be used only once by a scientific application. However, unlike typical commercial applications that often just requires a moderate amount of ordinary resources, large-scale scientific applications often need to process enormous amount of data in the terabyte or even petabyte range and require special high performance hardware with low latency connections to complete computation in a reasonable amount of time. To address these challenges, we build an infrastructure that can dynamically select high performance computing hardware across institutions and dynamically adapt the computation to the selected resources to achieve high performance. We have also demonstrated the effectiveness of our infrastructure by building a system biology application and an uncertainty quantification application for carbon sequestration, which can efficiently utilize data and computation resources across several institutions.},
doi = {10.1109/SERVICES.2013.13},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Jun 27 00:00:00 EDT 2013},
month = {Thu Jun 27 00:00:00 EDT 2013}
}

Conference:
Other availability
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