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: University of California-Irvine
• 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
• 起止时间: 2015-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541393&HistoricalAwards=false
• 关键词: CC; DNI; Engineer; Data; Safety

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.

现代研究越来越多地以数据为基础，无论是在物理、生物还是社会科学领域。这项研究越来越需要在短期和长期内传输、修改、同步和可靠地存储大量数据。数字数据和数据工具的产生和使用的显著增长把许多研究人员甩在了后面。网络基础设施工程师(CIE)的主要任务是通过个人支持和咨询，显著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，净目标是将有用的技术带给更多的研究人员。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非现场系统；2)通过使用目前许多研究人员尚不了解的最先进的工具和系统进行数据传输；以及，3)通过扩展使用超大型数据集的最高性能存储、检索和处理来提高数据性能。UCI正在评估一系列针对大规模园区存储池的竞争设计和服务，创建一种混合备份系统，该系统先在本地缓存数据，然后通过我们由NSF资助的科学DMZ(UCI-LightPath)将其发送到更长期、更便宜的云备份系统，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。