CNS Core: Medium: Collaborative Research: Cross Layer File Systems
CNS Core: Medium: Collaborative Research: Cross Layer File Systems
批准号:
1900457
负责人:
Simon Peter
金额:
$74.78万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-10-01 至 2022-05-31
中文摘要
计算机硬件设计人员正在开发用于永久存储用户数据的新技术,例如非易失性存储器(NVM)和固态硬盘(SSD)。与十年前常用的存储技术相比,这些技术提供了前所未有的性能,但每兆存储的成本也高得多。这项工作使用软件弥合了这一差距:构建可以无缝跨越多种存储技术(从NVM到SSD再到传统磁盘存储)的文件存储系统,以低成本和高性能可靠地存储用户数据。一项关键创新是改变应用程序和操作系统之间的接口,以简化文件系统更新。应用程序向内核请求许可,以记录对每个应用程序NVM中的文件系统的更改。这些更改可以在性能接近NVM的硬件限制的情况下应用,每次更新通常不超过一微秒。在后台,内核将这些更改复制回其自己的数据区域,从而提供所有应用程序都在同一存储系统上运行的错觉。然后,内核将数据复制到SSD和磁盘,以便为NVM的其他更新腾出空间。由于这些新技术带来的优势,业界正争先恐后地部署它们,但需要新的软件技术来将这些优势带给真正的用户。由于台式机和云计算系统是全球数十亿人使用的所有类型计算的默认平台,因此有可能广泛受益。此外,计算机科学教学必须适应这些新技术的挑战和解决方案,使学生能够在这种新环境中茁壮成长。建议的课程和项目材料将使学生为这种多层存储和文件系统的未来做好准备。将产生的主要数据类型将是软件构件和这些软件构件的度量。在项目期间,软件源代码和数据测量将使用行业标准的版本控制系统存储,并备份到德克萨斯大学奥斯汀大学计算机科学系大楼不同区域的多台服务器上。出版后,源代码和数据测量的副本将与所有已发表论文的副本一起移动到https://www.cs.utexas.edu/~simon/strata/的永久储存库,该储存库将在项目完成后至少保留十年。该奖项反映了美国国家科学基金会的法定使命,并已通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Computer hardware designers are developing new technologies for permanent storage of user data, such as non-volatile memories (NVM) and solid-state disks (SSD). Relative to the storage technologies commonly used just a decade ago, these offer unprecedented performance, but at a cost that is also much higher per megabyte of storage. This work uses software to bridge that gap: to build file storage systems that can seamlessly span multiple types of storage technology, from NVM to SSD to traditional disk storage, to reliably store user data at low cost and high performance.A key innovation is to change the interface between applications and the operating system to streamline file system updates. Applications ask the kernel for permission to log changes to the file system in per-application NVM. These changes can be applied with performance close to the hardware limits of NVM, often under a microsecond per update. In the background, the kernel copies these changes back to its own data region, providing the illusion that all applications are working on the same storage system. The kernel then copies the data to SSD and disk to make room for additional updates to NVM.Industry is rushing to deploy these new technologies because of the advantages they bring, but new software techniques are needed to bring those advantages to real users. As desktops and cloud computing systems are the default platform for all types of computing used by billions of people worldwide, there is the potential for widespread benefit. In addition, computer science instruction must adapt to address the challenges and solutions to these new technologies, to enable students to thrive in this new environment. Proposed lecture and project materials will prepare students for this multi-layer storage and file system future.The primary type of data to be produced will be software artifacts and measurements of these software artifacts. During the project, software source code and data measurements will be stored using an industry-standard version control system and backed up on multiple servers in different areas of the University of Texas Austin computer science department building. After publication, copies of the source code and data measurements will be moved, along with copies of all published papers, to a permanent repository at https://www.cs.utexas.edu/~simon/strata/ which will remain in place for at least ten years after completion of the project.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(7)
专著(0)
科研奖励(0)
会议论文
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DOI:
--
发表时间:
2020
期刊:
影响因子:
--
作者:
[Ian Neal;B. Reeves;Ben Stoler;Andrew Quinn;Youngjin Kwon;Simon Peter;Baris Kasikci]
通讯作者:
Ian Neal;B. Reeves;Ben Stoler;Andrew Quinn;Youngjin Kwon;Simon Peter;Baris Kasikci
DOI:
--
发表时间:
2021
期刊:
Proceedings of the Sixteenth European Conference on Computer Systems
影响因子:
--
作者:
[Jaehyun Hwang;Midhul Vuppalapati;Simon Peter;R. Agarwal]
通讯作者:
Jaehyun Hwang;Midhul Vuppalapati;Simon Peter;R. Agarwal
DOI:
10.1145/3132747.3132770
发表时间:
2017-10
期刊:
Proceedings of the 26th Symposium on Operating Systems Principles
影响因子:
--
作者:
[Youngjin Kwon;Henrique Fingler;T. Hunt;Simon Peter;Emmett Witchel;T. Anderson]
通讯作者:
Youngjin Kwon;Henrique Fingler;T. Hunt;Simon Peter;Emmett Witchel;T. Anderson
High Velocity Kernel File Systems with Bento
带有 Bento 的高速内核文件系统
DOI:
--
发表时间:
2021
期刊:
19th USENIX Conference on File and Storage Technologies (FAST 21
影响因子:
--
作者:
[Miller, Samantha, Zhang, Kaiyuan, Chen, Mengqi, Jennings, Ryan, Chen, Ang, Zhuo, Danyang, Anderson, Thomas]
通讯作者:
Anderson, Thomas
DOI:
--
发表时间:
2021
期刊:
影响因子:
--
作者:
[Ian Neal;Gefei Zuo;Eric Shiple;Tanvir Ahmed Khan;Youngjin Kwon;Simon Peter;Baris Kasikci]
通讯作者:
Ian Neal;Gefei Zuo;Eric Shiple;Tanvir Ahmed Khan;Youngjin Kwon;Simon Peter;Baris Kasikci
共 7 条
Collaborative Research: CNS Core: Medium: Terabyte-scale Tiered Memory Management
-
批准号:2212580
-
项目类别:Continuing Grant
-
资助金额:$60.0万
-
财政年份:2022
-
负责人:Simon Peter
-
依托单位:
CNS Core: Medium: Collaborative Research: Cross Layer File Systems
-
批准号:2227132
-
项目类别:Continuing Grant
-
资助金额:$74.78万
-
财政年份:2022
-
负责人:Simon Peter
-
依托单位:
Collaborative Research: CNS Core: Small: Scalable ACID Transactions for Persistent Memory Databases
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项目类别:Standard Grant
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资助金额:$28.5万
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财政年份:2022
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负责人:Simon Peter
-
依托单位:
RINGS: Power Resilient NextG Data Centers
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批准号:2148209
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项目类别:Continuing Grant
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资助金额:$100.0万
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财政年份:2022
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负责人:Simon Peter
-
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CAREER: High-Performance Packet Processing with Programmable NIC Data-Planes
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项目类别:Continuing Grant
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资助金额:$55.0万
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财政年份:2021
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负责人:Simon Peter
-
依托单位:
Collaborative Research: CNS Core: Small: Scalable ACID Transactions for Persistent Memory Databases
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批准号:2008884
-
项目类别:Standard Grant
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资助金额:$28.5万
-
财政年份:2020
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负责人:Simon Peter
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依托单位:
CAREER: High-Performance Packet Processing with Programmable NIC Data-Planes
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批准号:1751231
-
项目类别:Continuing Grant
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资助金额:$55.0万
-
财政年份:2018
-
负责人:Simon Peter
-
依托单位:
国内基金
海外基金
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