Phase II IUCRC CRSS: Center for Research in Storage Systems
Phase II IUCRC CRSS: Center for Research in Storage Systems
批准号:
1841545
负责人:
Heiner Litz
金额:
$50.0万
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:
未结题
起止时间:
2019-03-01 至 2025-02-28
中文摘要
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英文摘要
The Center for Research in Storage Systems (CRSS) conducts research to improve the performance, security, reliability, efficiency, and usability of data storage. A system composed of thousands or even millions of storage devices must provide these characteristics, though individual devices may lack them. Finding and using data in such large, complex systems is challenging, yet it must be made simple and efficient for end users. Complex systems are also subject both to hardware and software failures as well as directed attacks to steal or destroy data, so storage systems must guard against both security breaches and data loss.CRSS is concerned with adapting systems to better utilize new storage technologies such as byte-addressable non-volatile memory (BNVM), shingled disk, and glass. Operating systems and file systems must adapt to these new technologies to provide higher performance and better usability for BNVM, and improved security, efficiency, and long-term reliability for archival storage. Cross-cutting issues such as improved security and the usage of machine learning to optimize storage systems are relevant for all types of storage systems, yet there remain many open questions in how to address these issues, particularly given the large scale in both time and size that CRSS is exploring. Improving storage systems for large-scale data science is also a significant challenge that CRSS is addressing.Data storage is the foundation of our digital society: the vast majority of our knowledge and information is stored digitally. The research done at CRSS will allow society as a whole to better keep and utilize the flood of information our world is gathering. CRSS research will help cloud providers provide more reliable and usable large-scale storage, and will help reduce the risk of security breaches. CRSS research will also help organizations store and access the massive amounts of data generated by the Internet of Things, further aiding a wide range of societal issues such as climate, transportation, and housing.CRSS will maintain a Web-accessible project repository at https://www.crss.ucsc.edu/repository.html, which will have links to publications, data, and code developed by all CRSS sites. Code will be hosted on either gitlab.soe.ucsc.edu or bitbucket.org. Traces will be hosted locally or donated to the repository operated by the Storage Networking Industry Association's Input/Output Traces, Tools, and Analysis (IOTTA) Technical Work Group.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(34)
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CXLMemSim: A pure software simulated CXL.mem for performance characterization
CXLMemSim:用于性能表征的纯软件模拟 CXL.mem
DOI:
--
发表时间:
2023
期刊:
YArch
影响因子:
--
作者:
[Yang, Yiwei, Safayenikoo, Pooneh, Ma, Jiacheng, Ahmed Khan, Tanvir, Quinn, Andrew]
通讯作者:
Quinn, Andrew
Research for Practice: Crash Consistency
研究实践:碰撞一致性
DOI:
10.1145/3570521
发表时间:
2023
期刊:
Communications of the ACM
影响因子:
22.7
作者:
[Alagappan, Ramnatthan, Alvaro, Peter]
通讯作者:
Alvaro, Peter
Lethe: Secure Deletion by Addition
Lethe:通过添加安全删除
DOI:
--
发表时间:
2023
期刊:
Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems
影响因子:
--
作者:
[Chou, Eugene, Conrad-Shah, Leo, Barker, Austen, Quinn, Andrew, Miller, Ethan L., Long, Darrell D.]
通讯作者:
Long, Darrell D.
DOI:
--
发表时间:
2020
期刊:
Proceeding of the Conference on Mass Storage Systems and Technologies (MSST '20
影响因子:
--
作者:
[Byron, J, Long, D, Miller, E]
通讯作者:
Miller, E
DOI:
10.1145/3484266.3487389
发表时间:
2021-11
期刊:
Proceedings of the 20th ACM Workshop on Hot Topics in Networks
影响因子:
--
作者:
[Daniel Bittman;R. Soulé;E. Miller;Vishal Shrivastav;P. Mehra;Matthew Boisvert;A. Silberschatz;P. Alvaro]
通讯作者:
Daniel Bittman;R. Soulé;E. Miller;Vishal Shrivastav;P. Mehra;Matthew Boisvert;A. Silberschatz;P. Alvaro
共 30 条
CAREER: Machine Learning Driven Cross-Layer Optimizations for Storage
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批准号:1942754
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项目类别:Continuing Grant
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资助金额:$53.0万
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财政年份:2020
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负责人:Heiner Litz
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依托单位:
FoMR: Improving Microprocessor IPC for Data Center Workloads
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批准号:1823559
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项目类别:Standard Grant
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资助金额:$17.3万
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财政年份:2018
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负责人:Heiner Litz
-
依托单位:
国内基金
海外基金
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