{"title":"基于日志的检查点的快速并发写入","authors":"Milo Polte, Jiri Simsa, Wittawat Tantisiriroj, Garth A. Gibson, Shobhit Dayal, Mikhail Chainani, Dilip Kumar Uppugandla","doi":"10.1109/PDSW.2008.4811882","DOIUrl":null,"url":null,"abstract":"This report describes how a file system level log-based technique can improve the write performance of many-to-one write checkpoint workload typical for high performance computations. It is shown that a simple log-based organization can provide for substantial improvements in the write performance while retaining the convenience of a single flat file abstraction. The improvement of the write performance comes at the cost of degraded read performance however. Techniques to alleviate the read performance penalty, such as file reconstruction on the first read, are discussed.","PeriodicalId":227342,"journal":{"name":"2008 3rd Petascale Data Storage Workshop","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Fast log-based concurrent writing of checkpoints\",\"authors\":\"Milo Polte, Jiri Simsa, Wittawat Tantisiriroj, Garth A. Gibson, Shobhit Dayal, Mikhail Chainani, Dilip Kumar Uppugandla\",\"doi\":\"10.1109/PDSW.2008.4811882\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This report describes how a file system level log-based technique can improve the write performance of many-to-one write checkpoint workload typical for high performance computations. It is shown that a simple log-based organization can provide for substantial improvements in the write performance while retaining the convenience of a single flat file abstraction. The improvement of the write performance comes at the cost of degraded read performance however. Techniques to alleviate the read performance penalty, such as file reconstruction on the first read, are discussed.\",\"PeriodicalId\":227342,\"journal\":{\"name\":\"2008 3rd Petascale Data Storage Workshop\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 3rd Petascale Data Storage Workshop\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PDSW.2008.4811882\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 3rd Petascale Data Storage Workshop","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PDSW.2008.4811882","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This report describes how a file system level log-based technique can improve the write performance of many-to-one write checkpoint workload typical for high performance computations. It is shown that a simple log-based organization can provide for substantial improvements in the write performance while retaining the convenience of a single flat file abstraction. The improvement of the write performance comes at the cost of degraded read performance however. Techniques to alleviate the read performance penalty, such as file reconstruction on the first read, are discussed.