Please use this identifier to cite or link to this item: https://doi.org/10.3724/SP.J.1001.2011.03906
Title: Performance evaluation and relative predictive model of parallel file system
Authors: Zhao, T.-Z.
Dong, S.-B.
Verdi, M. 
See, S.
Keywords: Lustre file system
Parallel file system
Performance evaluation
Performance model
Issue Date: 2011
Source: Zhao, T.-Z.,Dong, S.-B.,Verdi, M.,See, S. (2011). Performance evaluation and relative predictive model of parallel file system. Ruan Jian Xue Bao/Journal of Software 22 (9) : 2206-2221. ScholarBank@NUS Repository. https://doi.org/10.3724/SP.J.1001.2011.03906
Abstract: In this paper, the performance evaluation and modeling of parallel file system based on Lustre file system is studied. After performing a survey on performance factors, a series of performance evaluations via experimental approaches and propose a performance relational model (PRModel). In the experimental and PRModel analysis, it is found that different performance factors have closed performance correlations. In order to mime the relational information, a novel relative performance predictive model (RPPModel) is proposed. This model can be used to predict the overhead over different performance factors. The model is validated through a series of experiments over a variety of performance factors. The experimental results show that the average relative errors results can be controlled within 17%~28%. This model is easy to use and can obtain better prediction accuracy. ©2011, Institute of Software, the Chinese Academy of Sciences. All rights reserved.
Source Title: Ruan Jian Xue Bao/Journal of Software
URI: http://scholarbank.nus.edu.sg/handle/10635/39533
ISSN: 10009825
DOI: 10.3724/SP.J.1001.2011.03906
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