集成海量存储和文件系统

C. J. Antonelli, P. Honeyman
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引用次数: 15

摘要

作者描述了密歇根大学信息技术集成中心在开发和集成海量存储与分布式文件系统(特别是与Andrew文件系统(AFS))方面的当前和预期工作。他们提出了一种集成AFS与大容量存储的具体方法:他们认为大容量存储本身就是文件系统,而不是基于磁盘的文件系统旁边的一个包。作者没有开发一个后端服务器来管理数据文件在传统的基于磁盘的存储系统(目前由AFS使用)和基于磁带或光学的大容量存储系统(AFS对此知之甚少或一无所知)之间的移动,而是将大容量存储设想为一流的数据存储库。传统的基于磁盘的文件系统是海量存储系统的一个非常大的缓存。在它之上是另一个大的高速内存缓存。除了大容量存储之外的所有存储都专门用于缓存。在这种方法中,缓存管理策略是最重要的
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating mass storage and file systems
The authors describe current and anticipated work at the Center for Information Technology Integration at the University of Michigan in developing and integrating mass storage with distributed file systems, specifically with the Andrew File System (AFS). They present a specific approach to integrating AFS with mass storage: they consider the mass store itself to be the file system, not a bag on the side of a disk-based file system. Instead of developing a back-end server to manage the movement of data files between traditional disk-based storage systems (used, in the present case, by AFS) and magnetic-tape or optical-based mass storage systems (of which AFS has little or no knowledge), the authors envision the mass store as a first-class data repository. A traditional disk-based file system serves as a very large cache of the mass store system. On top of that is another, large, high-speed memory cache. All storage other than the mass store is used exclusively for caching. In this approach, cache management policies are of fundamental importance.<>
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