课题基金 / 基金详情

CC*DNI Engineer: Data Safety, Transfer and Performance

CC*DNI Engineer: Data Safety, Transfer and Performance
CC*DNI 工程师:数据安全、传输和性能
批准号:
1541393
负责人:
Dana Roode
金额:
$39.8万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-01 至 2018-08-31

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
现代研究越来越基于数据,无论奋进在物理,生物还是社会科学方面。越来越多的研究需要传输、修改、同步和可靠地存储大量数据,无论是短期还是长期。数字数据和数据工具的产生和使用的显著增加使许多研究人员落后。 网络基础设施工程师(CIE)的主要使命是通过个人支持和咨询,积极参与研究人员和技术之间的互动,并就选定的主题教授入门课程,其净目标是为更多的研究人员带来有用的技术。CIE正在努力通过三个平行途径改善科学研究的数据驱动性质:1)通过部署自动化系统将大规模研究数据转移到场外系统来实现数据安全; 2)通过使用目前许多研究人员未知的最先进工具和系统来进行数据传输;以及,3)通过扩展使用最高性能的存储、检索和处理非常大的数据集来提高数据性能。 UCI正在评估一个大型校园存储池的一些竞争设计和服务,创建一个混合备份系统,在通过我们的NSF资助的科学DMZ(UCI-LightPath)将数据发送到长期,更便宜的云备份系统之前,在本地缓存数据,并自动化和使用现有的高速数据传输协议,使研究人员更容易利用。
英文摘要
Modern research is increasingly data-based, whether the endeavor is in the physical, biological, or social sciences. Increasingly that research calls for large amounts of data to be transferred, modified, synced, and reliably stored for both the short and long term. The remarkable increase in both the generation and use of digital data and data tools has left many researchers behind. The primary mission of the CyberInfrastructure Engineer (CIE) is to significantly engage in the interaction between researcher and technology via personal support and consultation, and to teach introductory classes on selected topics, with a net goal of bringing useful technologies to more researchers.The CIE is working to improve the data-driven nature of scientific research in three parallel avenues: 1) data safety through the deployment of automated systems to move large scale research data to off-site systems; 2) data transfer through the use of state-of-the-art tools and systems currently unknown to many researchers; and, 3) data performance by expanded use of the highest-performance storage, retrieval, and processing of very large datasets. UCI is evaluating a number of competing designs and services for a large-scale campus storage pool, creating a hybrid backup system that caches data locally before sending it on via our NSF-funded Science DMZ (UCI-LightPath) to longer-term, less-expensive, Cloud backup systems, and automating and using existing high speed data transfer protocols to be much easier for researchers to take advantage of.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金