Chiminey: Reliable Computing and Data Management Platform in the Cloud

被引：13

作者：

Yusuf, Iman I. ^{[1
]}

Thomas, Ian E. ^{[2
]}

Spichkova, Maria ^{[2
]}

Androulakis, Steve ^{[3
]}

Meyer, Grischa R. ^{[3
]}

Drumm, Daniel W. ^{[2
]}

Opletal, George ^{[2
]}

Russo, Salvy P. ^{[2
]}

Buckle, Ashley M. ^{[3
]}

Schmidt, Heinz W. ^{[2
]}

机构：

[1] Appl Data Sci, New York, NY 10111 USA

[2] RMIT Univ, Melbourne, Vic, Australia

[3] Monash Univ, Clayton, Vic 3800, Australia

来源：

2015 IEEE/ACM 37th IEEE International Conference on Software Engineering, Vol 2 | 2015年

关键词：

D O I：

10.1109/ICSE.2015.221

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The enabling of scientific experiments that are embarrassingly parallel, long running and data-intensive into a cloud-based execution environment is a desirable, though complex undertaking for many researchers. The management of such virtual environments is cumbersome and not necessarily within the core skill set for scientists and engineers. We present here Chiminey, a software platform that enables researchers to (i) run applications on both traditional high-performance computing and cloud-based computing infrastructures, (ii) handle failure during execution, (iii) curate and visualise execution outputs, (iv) share such data with collaborators or the public, and (v) search for publicly available data. Demo video: http://youtu.be/Twi-d2WT94A

引用

页码：677 / 680

页数：4

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