{"title":"Toward comprehensive and accurate simulation performance prediction of parallel file systems","authors":"M. Erazo, Ting Li, Jason Liu, S. Eidenbenz","doi":"10.1109/DSN.2012.6263930","DOIUrl":null,"url":null,"abstract":"We present the design and implementation of FileSim, a simulation framework with detailed models of parallel file systems, capable of reproducing the complex I/O behavior at scale. FileSim aims to support comprehensive and accurate end-to-end I/O performance prediction and evaluation of exascale high-end computing systems. To this end, FileSim provides several key features, including detailed, pluggable models of contemporary parallel file systems, the support of trace-driven simulation, and the capability of running large-scale I/O systems using parallel and distributed simulation.We conducted extensive validation and performance studies, through which we show that the simulator is capable of reproducing important I/O system behaviors comparable to those measured from the real systems. We demonstrate the capabilities of FileSim as a tool for exploring the parameter space and design alternatives of large-scale parallel file systems.","PeriodicalId":236791,"journal":{"name":"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSN.2012.6263930","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
We present the design and implementation of FileSim, a simulation framework with detailed models of parallel file systems, capable of reproducing the complex I/O behavior at scale. FileSim aims to support comprehensive and accurate end-to-end I/O performance prediction and evaluation of exascale high-end computing systems. To this end, FileSim provides several key features, including detailed, pluggable models of contemporary parallel file systems, the support of trace-driven simulation, and the capability of running large-scale I/O systems using parallel and distributed simulation.We conducted extensive validation and performance studies, through which we show that the simulator is capable of reproducing important I/O system behaviors comparable to those measured from the real systems. We demonstrate the capabilities of FileSim as a tool for exploring the parameter space and design alternatives of large-scale parallel file systems.