Collaborative Research: CI-SUSTAIN: National File System Trace Repository

合作研究：CI-SUSTAIN：国家文件系统跟踪存储库

• 批准号: 1730726
• 负责人: Geoff Kuenning
• 金额: $ 16.12万
• 依托单位: Harvey Mudd College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2023-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1730726&HistoricalAwards=false
• 关键词: Collaborative; Research; CI; SUSTAIN; National

This project will sustain and enhance a national repository of traces that capture usage of file-systems, storage and input/outputs with the goal of helping researchers to address performance bottlenecks. As part of ongoing activities, new tools essential to the successful use of traces will be added. Also, new mirror sites are planned to expand efficiency and utility of the trace repository. The national repository of file systems traces is of immense importance to the software engineering community. By updating the traces for the new and emerging applications, this project provides a vital service to this community.Disk based file system is a performance bottleneck for many computer applications. Thus, it is useful to have a set of activity traces for storage systems to understand the access characteristics. Such traces may potentially help optimize flash-based solid-state storage and other emerging non-volatile memory based storage technologies. As the storage technologies evolve with network storage, cloud-based storage, Geo-replicated storage, the trace repository provides a set of targets for storage systems optimization.

该项目将维持和加强一个记录文件系统、存储和输入/输出使用情况的国家跟踪资料库，目的是帮助研究人员解决性能瓶颈问题。作为正在进行的活动的一部分，将增加成功使用痕迹所必不可少的新工具。此外，还计划建立新的镜像站点，以提高跟踪储存库的效率和效用。文件系统跟踪的国家存储库对软件工程社区非常重要。通过更新新的和新兴的应用程序的跟踪，这个项目提供了一个重要的服务，这个社区。基于磁盘的文件系统是一个性能瓶颈，许多计算机应用程序。因此，拥有一组存储系统的活动跟踪以了解访问特性是有用的。这样的迹线可以潜在地帮助优化基于闪存的固态存储和其他新兴的基于非易失性存储器的存储技术。随着存储技术的发展，网络存储，基于云的存储，地理复制存储，跟踪存储库提供了一组存储系统优化的目标。

项目成果

Cluster and Single-Node Analysis of Long-Term Deduplication Patterns

• DOI: 10.1145/3183890
• 发表时间: 2018-05
• 期刊: ACM Transactions on Storage (TOS)
• 作者: Zhen Sun;G. Kuenning;Sonam Mandal;Philip Shilane;Vasily Tarasov;Nong Xiao;E. Zadok

Carver: Finding Important Parameters for Storage System Tuning

• 发表时间: 2020
• 期刊: Nature Reviews Genetics
• 影响因子: 42.7
• 作者: Zhen Cao;G. Kuenning;E. Zadok