Performance Evaluation of Parallel File System Based on Lustre and Grey Theory
High Performance Computing (HPC) system need to be coupled with efficient parallel file systems, such as Lustre file system, that can deliver commensurate IO throughput to scientific applications. It is important to gain insights into the deliverable parallel file system IO efficiency. In order to gain a good understanding on what and how to impact the performance of parallel file systems. This paper presents a study on performance evaluation of parallel file systems using Lustre file system. We conduct an in-depth survey on the basic performance factors of Lustre. Based on this survey, a series of test cases are designed to validate the performance of Lustre and we adopt relational analysis model and grey prediction model to analyze and predict the performance changes. In our relational analysis, we find that the performance of Lustre has a more closed correlation when performance factors change. Our prediction results indicate that our prediction model can obtain better prediction precision and could be further applied to performance evaluation of other parallel file systems.
Lustre parallel file system performance evaluation performance model
Tiezhu Zhao Jinlong Hu
Guangdong Key Laboratory of Computer Network,South China University of Technology,Guangzhou, 510641, Guangdong Key Laboratory of Computer Network, South China University of Technology, Guangzhou, 51064
国际会议
The Ninth International Conference on Grid and Cloud Computing(第九届网格与云计算国际学术会议 GCC 2010)
南京
英文
118-123
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）