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

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:
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
项目状态:
已结题
起止时间:
2017-06-01 至 2023-05-31

项目摘要

项目成果

Geoff Kuenning的其他基金

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中文摘要
翻译
该项目将维持和加强一个记录文件系统、存储和输入/产出使用情况的国家痕迹储存库,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,将增加成功利用痕迹所必需的新工具。此外,还计划建立新的镜像站点,以提高跟踪存储库的效率和效用。国家文件系统痕迹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踪迹,该项目为这个社区提供了至关重要的服务。基于磁盘的文件系统是许多计算机应用程序的性能瓶颈。因此,为存储系统提供一组活动跟踪以了解访问特征非常有用。此类跟踪可能有助于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。随着网络存储、云存储、异地复制存储等存储技术的发展,轨迹存储库为存储系统的优化提供了一系列目标。
英文摘要
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.
期刊论文(2)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1145/3183890
发表时间: 2018-05
期刊: ACM Transactions on Storage (TOS)
影响因子: --
作者: [Zhen Sun;G. Kuenning;Sonam Mandal;Philip Shilane;Vasily Tarasov;Nong Xiao;E. Zadok]
通讯作者: Zhen Sun;G. Kuenning;Sonam Mandal;Philip Shilane;Vasily Tarasov;Nong Xiao;E. Zadok
DOI: --
发表时间: 2020
期刊: Nature Reviews Genetics
影响因子: 42.7
作者: [Zhen Cao;G. Kuenning;E. Zadok]
通讯作者: Zhen Cao;G. Kuenning;E. Zadok
CNS Core: III: Medium: Collaborative Research: Optimizing and Understanding Large Parameter Spaces in Storage Systems
  • 批准号:
    1900589
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $26.49万
  • 财政年份:
    2019
  • 负责人:
    Geoff Kuenning
  • 依托单位:
CSR: Medium: Collaborative Research: Workload-Aware Storage Architectures for Optimal Performance and Energy Efficiency
  • 批准号:
    1302232
  • 项目类别:
    Standard Grant
  • 资助金额:
    $18.0万
  • 财政年份:
    2013
  • 负责人:
    Geoff Kuenning
  • 依托单位:
CRI-CI-ADDO-EN: National File System Trace Repository
  • 批准号:
    1305360
  • 项目类别:
    Standard Grant
  • 资助金额:
    $13.08万
  • 财政年份:
    2013
  • 负责人:
    Geoff Kuenning
  • 依托单位:
CRI-CI-ADDO-EN: National File System Trace Repository
  • 批准号:
    0855238
  • 项目类别:
    Standard Grant
  • 资助金额:
    $10.0万
  • 财政年份:
    2009
  • 负责人:
    Geoff Kuenning
  • 依托单位:
国内基金
海外基金
Research on Quantum Field Theory without a Lagrangian Description
  • 批准号:
    24ZR1403900
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2024
  • 负责人:
    SATOSHI NAWATA
  • 依托单位:
Cell Research
Cell Research
Cell Research (细胞研究)