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CRI-CI-ADDO-EN: National File System Trace Repository

CRI-CI-ADDO-EN: National File System Trace Repository
CRI-CI-ADDO-EN:国家文件系统跟踪存储库
批准号:
1305360
负责人:
Geoff Kuenning
金额:
$13.08万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31
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项目摘要

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中文摘要
翻译
三十多年来,计算机系统中最慢、最受限制的组件一直是基于磁盘的文件系统。因此,文件系统一直是计算机系统研究的一个关键领域。研究文件系统最有用的技术之一是收集、分析和重放详细的活动跟踪。在过去,痕迹被用于回顾性分析,并作为模拟和现场实验的工作量来源。然而,由于缺乏公开可用的跟踪数据,许多文件系统研究受到阻碍,常常导致使用不适当的数据集进行实验。在许多情况下,这些数据集没有发表供其他研究人员使用,使得比较研究变得困难或不可能。在这项工作中,pi正在操作和扩展IOTTA跟踪存储库(在存储网络行业协会的I/O工具,跟踪和分析工作组之后),为全球研究人员提供标准化,高质量的数据集。这个存储库在研究社区中被广泛认为是文件系统和I/O跟踪数据的最可靠来源,并且通过每年向全世界数百个研究项目提供数据集证明了它的价值。该项目包括定义标准格式,然后创建工具,使跟踪工作变得容易,尽管它们非常大。由于跟踪存储库本质上是一项社区工作,因此由经验丰富的研究人员组成的咨询小组对其进行监督。
英文摘要
For more than three decades, the slowest and most limiting component in computer systems has been the disk-based file system. For that reason, file systems have consistently been a critical area of computer systems research. One of the most useful techniques for studying file systems is to collect, analyze, and replay detailed activity traces. In the past, traces have been used for retrospective analysis and as a source of workloads for both simulation and live experiments. However, many file-system studies have been handicapped by a lack of publicly available trace data, often causing experiments to be performed using inadequate data sets. In many cases, those data sets are not published for use by other researchers, making comparative studies difficult or impossible.In this work, the PIs are operating and expanding IOTTA Trace Repository (after the Storage Networking Industry Association's I/O Tools, Traces, and Analysis Working Group) that makes standardized, high-quality data sets available to researchers worldwide. This repository is widely known in the research community as the most reliable source of file system and I/O trace data, and has proven its worth by providing data sets to hundreds of research projects worldwide each year. The project involves defining standard formats and then creating tools to make it easy to work with traces, despite their immense size. Because the trace repository is inherently a community effort, it is supervised by an advisory panel of experienced researchers.
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CNS Core: III: Medium: Collaborative Research: Optimizing and Understanding Large Parameter Spaces in Storage Systems
  • 批准号:
    1900589
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  • 资助金额:
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  • 项目类别:
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  • 依托单位:
CRI-CI-ADDO-EN: National File System Trace Repository
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  • 负责人:
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