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Increasing Storage Performance and Reliability with Magnetic RAM

Increasing Storage Performance and Reliability with Magnetic RAM
使用磁性 RAM 提高存储性能和可靠性
批准号:
0306650
负责人:
Ethan Miller
金额:
$41.38万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2003
资助国家:
美国
项目状态:
已结题
起止时间:
2003-07-01 至 2007-06-30

项目摘要

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中文摘要
翻译
该研究通过使用磁性RAM作为文件系统索引(元数据)和数据的永久存储,极大地提高了文件系统的性能和可靠性。将元数据保存在MRAM中可以将元数据操作的速度提高一个数量级以上,同时降低软件复杂性并提高完整性。本研究还探讨了基于动态内存的元数据管理算法,减少了元数据的大小和复杂性,同时增加了元数据的灵活性。本研究探讨了不同MRAM大小和性能特征对文件系统性能和文件系统算法选择的影响。本研究使文件系统的性能和可靠性得以提高,具有多方面的深远影响。首先,文件系统性能的一个数量级的改进显著降低了文件服务器的成本,使存储变得更实惠。其次,使用基于内存的算法降低了代码复杂性,从而可以更快地开发更简单的文件服务器。第三,较低的代码复杂性和持续的完整性检查提高了可靠性,从而可以生产更可靠的文件服务器。这项研究也适用于其他新兴的非易失性存储技术,如FeRAM和新型Flash RAM。
英文摘要
The research dramatically improves file system performance and reliability by using Magnetic RAM as a permanent store for both file system indexes (metadata) and data. Keeping metadata in MRAM increases the speed of metadata operations by more than an order of magnitude while decreasing software complexity and improving integrity. This research also investigates dynamic memory-based algorithms for metadata management, reducing metadata size and complexity while increasing metadata flexibility. The research explores the effects of varying MRAM sizes and performance characteristics on file system performance and the choice of file system algorithms.The higher file system performance and higher reliability made possible by this research has several far-reaching impacts. First, file system performance improvements of an order of magnitude dramatically reduces file server costs, making storage more affordable. Second, the reduced code complexity enabled by the use of memory-based algorithms permits faster development of simpler file servers. Third, the increased reliability from lower code complexity and continuous integrity checking allows the production of much more reliable file servers. The research is also applicable to systems built with other emerging non-volatile memory technologies such as FeRAM and new types of Flash RAM.
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Collaborative Research: CNS Core: Medium: Secure, Reliable, and Efficient Long-Term Storage
  • 批准号:
    2106259
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.65万
  • 财政年份:
    2021
  • 负责人:
    Ethan Miller
  • 依托单位:
Collaborative Research: MSTIDs: Multi-Site Tomography of Ionospheric Disturbances
  • 批准号:
    1463967
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $20.4万
  • 财政年份:
    2015
  • 负责人:
    Ethan Miller
  • 依托单位:
I/UCRC: A Single-Site I/UCRC Center for Research in Storage Systems (CRSS)
  • 批准号:
    1266400
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $46.89万
  • 财政年份:
    2013
  • 负责人:
    Ethan Miller
  • 依托单位:
Collaborative Research: Scalable Data Management Using Metadata and Provenance
  • 批准号:
    0937938
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $55.3万
  • 财政年份:
    2009
  • 负责人:
    Ethan Miller
  • 依托单位:
国内基金
海外基金
面向 In-Storage 智能计算的高性能 SSD 控制器研究
  • 批准号:
    ZCLJHSQY26F0401
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    何越
  • 依托单位:
面向in-storage智能计算的固态硬盘缓存管理优化
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2022
  • 负责人:
    廖剑伟
  • 依托单位: