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作 者:贾威威[1] 林奕[1] 张延园[1] 陈莉君[2]
机构地区:[1]西北工业大学计算机学院,西安710072 [2]西安邮电大学计算机学院,西安710121
出 处:《高性能计算技术》2013年第6期22-28,共7页
基 金:本文获得国家自然科学基金(61272123)资助.
摘 要:摘要HLBS(Hadoop Distributed File System Based Log—Structured BlockStorage System)是基于日志结构文件系统理念,在Hadoop分布式文件系统框架之上开发的后台存储系统。为了让HLBS支持树形目录结构,在详细分析云存储系统的基础上,设计并实现了基于HLBS的多文件扩展系统。通过在HLBS上添加多文件扩展功能,就可使之支持多文件管理,从而实现从块级存储系统到文件级文件系统的跨跃,以使HLBS获得更大的磁盘空间,支持多文件随机读写和目录结构等特性。为了使HLBS能支持多文件扩展功能,本文详细分析了文件系统的基本理念,以及HLBS文件系统在云存储中的设计与实现,并结合其他云存储文件系统,对比了HLBS的实现性能。Based on Hadoop distributed File System, HLBS (Hadoop Distributed File System Based Log-Structured Block Storage System ) is realized with the mechanism of Log-Structured File System which is a back-end storage system. In order to let HLBS support directory tree structure, cloud storage system is analyzed and multiple file extension system HLBS is designed and realized, which is based on HLBS. With multiple file extension system, HLBS can support multiple file management and realize from block-level file system to file-level file system. This feature can let HLBS get more storage space, support multiple file read and write randomly, support directory tree structure and so on. In order to let HLBS support multiple file extension system, file system and HLBS file system's design and implementation in cloud storage field is analyzed. With other file system for cloud storage, HLBS's performance is weighed and analyzed.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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