{"title":"一种新型集群并行文件系统","authors":"W. Wei, Shoubin Dong, Ling Zhang, Jialin Li","doi":"10.1109/DEXA.2006.14","DOIUrl":null,"url":null,"abstract":"We propose a novel cluster parallel file system: high-throughput & scalable parallel file system (HTSPFS). There are some new features in it such as automatic adaptive file striping policy based on file size, request arrival rate, concurrent of accessing files, storage servers' networking and disk performance; prefetching read-request and writing behind write-request to enable a higher throughput in HTSPFS. We give a detail discuss of Markov spatial predicting method for read request, experiment results show that Markov predicting technology has high prediction veracity. Overall, HTSPFS has some autonomies characteristics","PeriodicalId":282986,"journal":{"name":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Novel Cluster Parallel File System\",\"authors\":\"W. Wei, Shoubin Dong, Ling Zhang, Jialin Li\",\"doi\":\"10.1109/DEXA.2006.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a novel cluster parallel file system: high-throughput & scalable parallel file system (HTSPFS). There are some new features in it such as automatic adaptive file striping policy based on file size, request arrival rate, concurrent of accessing files, storage servers' networking and disk performance; prefetching read-request and writing behind write-request to enable a higher throughput in HTSPFS. We give a detail discuss of Markov spatial predicting method for read request, experiment results show that Markov predicting technology has high prediction veracity. Overall, HTSPFS has some autonomies characteristics\",\"PeriodicalId\":282986,\"journal\":{\"name\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"volume\":\"65 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"17th International Workshop on Database and Expert Systems Applications (DEXA'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DEXA.2006.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"17th International Workshop on Database and Expert Systems Applications (DEXA'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEXA.2006.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We propose a novel cluster parallel file system: high-throughput & scalable parallel file system (HTSPFS). There are some new features in it such as automatic adaptive file striping policy based on file size, request arrival rate, concurrent of accessing files, storage servers' networking and disk performance; prefetching read-request and writing behind write-request to enable a higher throughput in HTSPFS. We give a detail discuss of Markov spatial predicting method for read request, experiment results show that Markov predicting technology has high prediction veracity. Overall, HTSPFS has some autonomies characteristics
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