Enabling cloud bursting for life sciences within Galaxy

被引:4
|
作者
Afgan, Enis [1 ,2 ]
Coraor, Nate [3 ]
Chilton, John [3 ]
Baker, Dannon [1 ]
Taylor, James [1 ]
机构
[1] Johns Hopkins Univ, Dept Biol, Baltimore, MD 21218 USA
[2] Rudjer Boskovic Inst, Ctr Informat & Comp, Zagreb, Croatia
[3] Penn State Univ, Dept Biochem & Mol Biol, University Pk, PA 16802 USA
来源
基金
美国国家卫生研究院;
关键词
cloud computing; cloud bursting; data analysis; genomics; accessibility; federation; performance; design; experimentation; CHALLENGES;
D O I
10.1002/cpe.3536
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Fueled by the radically increased capacity to generate data over the past decade, the field of biomedical research has been constrained by the ability to analyze data. Galaxy, a Web-based, open-source data integration and analysis platform for life science research, has been democratizing access to data analysis tools. However, the scale of data and the scope of tools required have proven to be a significant challenge for any monolithic deployment of the Galaxy application. We have found that a distributed and federated approach to utilizing compute and storage resources is necessary. This paper describes the ongoing efforts in creating a ubiquitous platform capable of simultaneously utilizing dedicated as well as on-demand cloud resources. Specifically, the requirements, process, and an implementation of a cloud-bursting system are detailed. Copyright (c) 2010 John Wiley & Sons, Ltd.
引用
收藏
页码:4330 / 4343
页数:14
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