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本研究项目旨在解决设计基于易失性存储的可扩展高性能分布式文件系统所涉及的问题。这种系统的灵活性与最近的技术趋势相结合,为实现卓越的性能和卓越的资源利用率提供了机会。这项研究包括四个部分。首先,我们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单个抽象中。抽象允许用户调整文件的持久性保证以匹配应用程序的要求,从而优化性能。其次,将引入一种称为松散耦合内存的新型存储体系结构,该体系结构提供了供所提议的文件系统使用的海量聚合存储空间。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,并缩短文件系统访问时间。第三,将新的抽象和文件系统架构引入到BM XINU操作系统中来验证我们的设计。VM XINU提供高性能、低延迟的通信协议,非常适合支持松散耦合的存储系统。最后,文件系统将被合并到Mach操作系统中,以在大量用户群的背景下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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