Cloud IaaS for Mass Spectrometry and Proteomics

被引:0
|
作者
Judson, Brenden [1 ]
McGrath, Garre S. [1 ]
Peuchen, Elizabeth H. [2 ]
Champion, S. Hew M. [2 ]
Brenner, Paul [1 ]
机构
[1] Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA
[2] Univ Notre Dame, Dept Chem & Biochem, Notre Dame, IN 46556 USA
关键词
Cloud; IaaS; Distributed Computing; Data Transit; Scientific Computing; Proteomics;
D O I
10.1145/3086567.3086571
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
While many high performance and high throughput scientific computations have been successfully ported to the cloud, coupling data intensive instruments, experiments and sensors to IaaS remains a challenge. We walk through the process of cloud migrating computations on physical IT infrastructure that are integrated with mass spectrometry instruments. A spotlight is put on the challenges of on-demand coupling of cloud resources to a stochastic scheduled physical experiment sensitive to output IO stability. We also discuss scalability of the application with increasing vCPUs and scheduling multiple independent instances of the application to enable burst scientific capability not viable with limited on-site infrastructure. Finally, we overview planned future work to integrate with more complex cloud distributed resources.
引用
收藏
页码:17 / 24
页数:8
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