RIA: A Memory-Based Architecture for High-Performance Distributed File Systems
RIA: A Memory-Based Architecture for High-Performance Distributed File Systems
批准号:
9309176
负责人:
James Griffioen
金额:
$10.5万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1993
资助国家:
美国
项目状态:
已结题
起止时间:
1993-08-15 至 1997-07-31
中文摘要
9309176 Griffioen该研究项目旨在解决基于易失性存储的可扩展高性能分布式文件系统设计中涉及的问题。这种系统的灵活性与最新技术趋势相结合,为卓越的性能和卓越的资源利用率提供了机会。这项研究有四个组成部分。首先,将研究一种新的分布式文件系统抽象,它将易失性存储和稳定存储合并到一个抽象中。抽象允许用户调整文件的持久性保证以匹配应用程序的需求,从而优化性能。其次,将引入一种称为松耦合内存的新型内存体系结构,它为所提议的文件系统提供了大量的聚合内存空间。该体系结构还结合了非对称压缩技术,以有效利用内存和未充分利用的处理能力,并改进文件系统访问时间。第三,将一个新的抽象和文件系统架构导入到bmxinu操作系统中来验证我们的设计。VM Xinu提供了一种高性能、低延迟的通信协议,非常适合支持松耦合的内存系统。最后,文件系统将被合并到Mach操作系统中,以在大量用户的环境中演示和评估我们的想法。***
英文摘要
9309176 Griffioen This research project to address the issues involved in the design of scalable high-performance distributed file systems based on volatile storage. The flexibility of such system combined with recent technology trends provides an opportunity for exceptional performance and superior resource utilization. The research has four components. First, a new distributed file system abstraction that incorporates both volatile and stable storage into a single abstraction will be investigated. The abstraction allows users to adjust the persistence guarantees of a file to match the requirements of the application, thereby optimizing performance. Second, a novel memory architecture called loosely-coupled memory that provides a massive aggregate memory space for use by the proposed file system will be introduced. The architecture also incorporates asymmetric compression techniques to make effective use of memory and underutilized processing power, and to improve file system access time. Third, a new abstraction and file system architecture into the BM Xinu operating system to verify our design. VM Xinu provides a high-performance, low-latency communication protocol ideal for support of a loosely-coupled memory system. Finally, the file system will be incorporated into the Mach operating system to demonstrate and evaluate our ideas in the context of a large user population. ***
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