Evaluation of a Performance Model of Lustre File System

As a large-scale global parallel file system, Lustre file system plays a key role in High Performance Computing (HPC) system, and the potential performance of such systems can be difficult to predict because the potential impact to application performance is not clearly understood. It is important t...

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Bibliographic Details
Main Authors: Tiezhu Zhao, March, Verdi, Shoubin Dong, See, Simon
Format: Conference Proceeding
Language:English
Subjects:
Bandwidth
Correlation
File systems
lustre
parallel file system
performance evaluaion
Performance evaluation
Predictive models
Sun
Synthetic aperture sonar
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Summary:As a large-scale global parallel file system, Lustre file system plays a key role in High Performance Computing (HPC) system, and the potential performance of such systems can be difficult to predict because the potential impact to application performance is not clearly understood. It is important to gain insights into the deliverable Lustre file system IO efficiency. In order to gain a good understanding on what and how to impact the performance of Lustre file system. This paper presents a study on performance evaluation of Lustre file systems and we propose a novel relative performance model to predict overhead under different performance factors. In our previous experiments, we discover that different performance factors have a closed correlation. In order to mining the correlations, we introduce relative performance model to predict performance differences between a pair of Lustre file system equipped with different performance factors. On average, relative model can predict bandwidth within 17%-28%. The results show our relative prediction model can obtain better prediction accuracy.
ISSN:1949-131X
1949-1328
DOI:10.1109/ChinaGrid.2010.38