Please use this identifier to cite or link to this item: https://doi.org/10.1109/ChinaGrid.2010.38
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dc.titleEvaluation of a performance model of lustre file system
dc.contributor.authorZhao, T.
dc.contributor.authorMarch, V.
dc.contributor.authorDong, S.
dc.contributor.authorSee, S.
dc.date.accessioned2013-07-04T08:38:35Z
dc.date.available2013-07-04T08:38:35Z
dc.date.issued2010
dc.identifier.citationZhao, T.,March, V.,Dong, S.,See, S. (2010). Evaluation of a performance model of lustre file system. Proceedings - 5th Annual ChinaGrid Conference, ChinaGrid 2010 : 191-196. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/ChinaGrid.2010.38" target="_blank">https://doi.org/10.1109/ChinaGrid.2010.38</a>
dc.identifier.isbn9780769541068
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/41903
dc.description.abstractAs 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. © 2010 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ChinaGrid.2010.38
dc.sourceScopus
dc.subjectLustre
dc.subjectModel
dc.subjectParallel file system
dc.subjectPerformance evaluaion
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1109/ChinaGrid.2010.38
dc.description.sourcetitleProceedings - 5th Annual ChinaGrid Conference, ChinaGrid 2010
dc.description.page191-196
dc.identifier.isiutNOT_IN_WOS
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