CCF-BSF: AF: Small: Collaborative Research: The Dictionary Problem Considered
CCF-BSF: AF: Small: Collaborative Research: The Dictionary Problem Considered
批准号:
1715777
负责人:
Martin Farach-Colton
金额:
$25.0万
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:
2017-09-01 至 2020-08-31
中文摘要
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英文摘要
The performance of databases, file systems, and other data-storage systems depends on how the data is organized on disk. The data-organization parts of these systems are called dictionaries. Even though dictionaries have been studied for decades, some very basic questions remain unanswered. This grant will support research to address several of these questions. This research has the potential to improve performance of data-storage systems and applications based on these systems in many environments, including large-scale data analysis and high-performance computing. Dictionaries are so fundamental that theoretical advances in dictionaries are quickly picked up by practitioners, and thus this research has strong potential for tech transfer. Specifically, the project will tackle foundational problems in dictionaries using techniques in write-optimization pioneered by the PIs. How are systems of dictionaries different than individual dictionaries? How can dictionaries take advantage of variations in the rate of queries and updates? How can one comprehensively compare dictionary data structures? How can one bring the benefits of write-optimization to dictionaries on more complex data types? Write-optimized dictionaries have fundamentally changed the landscape of databases, and this research will improve our understanding of the complexity of operations on such systems.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
--
发表时间:
2020
期刊:
IPDPS
影响因子:
--
作者:
[Singh, Shikha, Madaminov, Sergey, Bender, Michael, Ferdman, Michael, Johnson, Ryan, Moseley, Benjamin, Ngo, Hung, Nguyen, Dung, Olesen, Soeren, Stirewalt, Kurt]
通讯作者:
Stirewalt, Kurt
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SBIR Phase I: A Storage Engine for High-Volume Data
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Algorithms for Metric Space Embeddings
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