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CSR: Medium: Rethinking Distributed SSD Storage Systems

CSR: Medium: Rethinking Distributed SSD Storage Systems
CSR:中:重新思考分布式 SSD 存储系统
批准号:
1763546
负责人:
Michael Freedman
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-08-15 至 2022-07-31

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中文摘要
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英文摘要
Modern storage technologies, such as solid-state disks (SSDs), have increased their capacity by increasing density: representing more digital bits in the same physical media. To do so, their margin of error for representing data has shrunk, and the resulting bit error rate has risen. While disks employ error correcting codes to mask such bit errors, these error rates rise as disk blocks age, by being (over)written, and eventually the disk fails. Thus, as density has risen, disks' expected lifetimes have plunged. This research rethinks how to build scalable and cost-effective storage through a cross-layer design to the storage stack.For most datacenter applications, objects are already replicated between multiple devices, and this application-layer redundancy can be leveraged for increased reliability. This research thus explores a new approach for end-to-end reliability for SSD storage systems: datacenter flash devices should be far less reliable and push error visibility and correction up to the distributed application layer. The design challenges and implications of providing such a holistic, cross-layer approach are explored through three research thrusts: at the individual disk layer, at the local file system, and at the distributed storage system layer.By extending the lifecycle of disks by several orders of magnitude, this research has the potential for the adoption of new SSD storage technologies, significant cost savings, and enabling new applications to use SSDs. Due to the plunging lifecycles of newer generations of SSD technologies, large datacenter applications have been unable to integrate these new generations in a number of scenarios (e.g., workloads with heavy write rates, including databases and caches). Given this research's potential for orders of magnitude of reliability improvements, it provides a potential path out from this reliability cliff of the hardware.Code, data, and results relating to this research will be made available via a git repository, hosted publicly at https://github.com/princeton-sns/crosslayer-storage/. Materials will be available throughout the Award term and at least five years following it.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
期刊论文(1)
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会议论文
DOI: --
发表时间: 2019
期刊: Advanced Energy Materials
影响因子: 27.8
作者: [Amy Tai;Andrew Kryczka;Shobhit O. Kanaujia;K. Jamieson;M. Freedman;Asaf Cidon]
通讯作者: Amy Tai;Andrew Kryczka;Shobhit O. Kanaujia;K. Jamieson;M. Freedman;Asaf Cidon
Collaborative Research: CNS CORE: Medium: The Case for Blended Storage
  • 批准号:
    2106530
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $37.5万
  • 财政年份:
    2021
  • 负责人:
    Michael Freedman
  • 依托单位:
BIGDATA: Small: DCM: JetStream: A Flexible Distributed System for Online and In-Place Data Analysis
  • 批准号:
    1250990
  • 项目类别:
    Standard Grant
  • 资助金额:
    $70.0万
  • 财政年份:
    2013
  • 负责人:
    Michael Freedman
  • 依托单位:
TC: Large: Collaborative Research: Facilitating Free and Open Access to Information on the Internet
  • 批准号:
    1111734
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $75.0万
  • 财政年份:
    2012
  • 负责人:
    Michael Freedman
  • 依托单位:
CAREER: Towards Scalable Datacenter Services with Strong Robustness Guarantees
  • 批准号:
    0953197
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $52.93万
  • 财政年份:
    2010
  • 负责人:
    Michael Freedman
  • 依托单位:
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