{"title":"RAMA: a file system for massively-parallel computers","authors":"E. L. Miller, R. Katz","doi":"10.1109/MASS.1993.289764","DOIUrl":null,"url":null,"abstract":"The authors describe a file system design for massively parallel computers which makes very efficient use of a few disks per processor. This overcomes the traditional input/output (I/O) bottleneck of massively parallel machines by storing the data on disks within the high-speed interconnection network. In addition, the file system, called RAMA (Rapid Access to Massive Archive), requires little internode synchronization, removing another common bottleneck in parallel processor file systems. Support for a large tertiary storage system can easily be integrated into the file system; in fact, RAMA runs most efficiently when tertiary storage is used.<<ETX>>","PeriodicalId":225568,"journal":{"name":"[1993] Proceedings Twelfth IEEE Symposium on Mass Storage systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1993] Proceedings Twelfth IEEE Symposium on Mass Storage systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MASS.1993.289764","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16
Abstract
The authors describe a file system design for massively parallel computers which makes very efficient use of a few disks per processor. This overcomes the traditional input/output (I/O) bottleneck of massively parallel machines by storing the data on disks within the high-speed interconnection network. In addition, the file system, called RAMA (Rapid Access to Massive Archive), requires little internode synchronization, removing another common bottleneck in parallel processor file systems. Support for a large tertiary storage system can easily be integrated into the file system; in fact, RAMA runs most efficiently when tertiary storage is used.<>