Garth A. Gibson, Daniel Stodolsky, Fay W. Chang, William V. Courtright, C. Demetriou, E. Ginting, M. Holland, Qingming Ma, LeAnn Neal, R. H. Patterson, Jiawen Su, Rachad Youssef, J. Zelenka
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引用次数: 50
摘要
为了满足现代计算机系统的带宽需求，并行存储系统正在从RAID 1级发展到RAID 5级。卡内基梅隆大学(Carnegie Mellon University)的并行数据实验室(parallel Data Lab)构建了三个Scotch并行存储测试平台，以探索和评估RAID演进的五个方向:第一，开发新的RAID架构，以减少维护冗余数据的成本/性能损失;第二，一个可扩展的软件框架，用于新架构的快速原型设计;第三，降低RAID子系统的复杂性和自动化错误处理的机制;第四，允许串行程序利用并行存储的文件系统扩展;最后，一个将RAID优势扩展到分布式并行计算环境的并行文件系统。本文描述了这五种RAID演进，以及它们被实现和评估的测试平台。
To meet the bandwidth needs of modern computer systems, parallel storage systems are evolving beyond RAID levels 1 through 5. The parallel Data Lab at Carnegie Mellon University has constructed three Scotch parallel storage testbeds to explore and evaluate five directions in RAID evolution: first, the development of new RAID architectures to reduce the cost/performance penalty of maintaining redundant data; second, an extensible software framework for rapid prototyping of new architectures; third, mechanisms to reduce the complexity of and automate error-handling in RAID subsystems; fourth, a file system extension that allows serial programs to exploit parallel storage; and lastly, a parallel file system that extends the RAID advantages to distributed parallel computing environments. This paper describes these five RAID evolutions and the testbeds in which they are being implemented and evaluated.
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