CC* Data Storage: Supporting Big-Data Edge Computing using Hybrid and Cloud-Native Storage Infrastructure

CC* 数据存储：使用混合和云原生存储基础设施支持大数据边缘计算

• 批准号: 2232601
• 负责人: Xiaosong Li
• 金额: $ 50万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2232601&HistoricalAwards=false
• 关键词: CC; Data; Storage; Supporting; Big

The University of Washington (UW) Information Technology (UW-IT) and the Office of Vice Provost for Research are supported by a Campus Cyberinfrastructure (CC*) award to create a novel central data storage, curation, and sharing platform. The core tenant of this research ecosystem is the development of a scalable, elastic, low-latency data storage framework supporting a wide range of interdisciplinary research, bolstered by advanced high-throughput data science tools, an open-source high-performance data management system, and the expertise of professional storage cyberinfrastructure engineers. The new cyberinfrastructure empowers researchers to perform scalable, data-intensive analysis across disciplinary and institutional boundaries to inform new discoveries, including materials, particle physics, environmental, medical, and health sciences. The project develops a broad range of data science training programs to provide interdisciplinary research experiences to the trainees and supports data science education and research at partner minority-serving institutions, preparing them for diverse education leadership roles, and simultaneously inspiring enthusiasm for big-data sciences in the broader community.The project identifies and removes data storage bottlenecks that are common across scientific domains and develops a modern data storage cyberinfrastructure that scales scientific analyses to thousands of processors and petabytes of data locally as well as on top of existing national NSF cyberinfrastructure, while maintaining seamless synchronization with commercial cloud-based storage. The deployment of the 9.6 PB usable new storage infrastructure advances all big data research disciplines by providing scalable low-latency data access and egress across all three local UW campuses (Seattle, Bothell, Tacoma). The new data storage ecosystem facilitates a research paradigm shift by (1) advancing the development of high-throughput data analytics; (2) encouraging collaborative big-data research through a common data landing path; (3) providing a highly secure yet permissive data management plan, to allow compliant use with regulated research data; and (4) supporting convergent science by bringing together substantially different science and engineering disciplines.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.

华盛顿大学 (UW) 信息技术 (UW-IT) 和研究副教务长办公室在校园网络基础设施 (CC*) 奖项的支持下创建了一个新颖的中央数据存储、管理和共享平台。该研究生态系统的核心租户是开发可扩展、弹性、低延迟的数据存储框架，支持广泛的跨学科研究，并得到先进的高吞吐量数据科学工具、开源高性能数据管理系统的支持，以及专业存储网络基础设施工程师的专业知识。新的网络基础设施使研究人员能够跨学科和机构边界进行可扩展的数据密集型分析，为新发现提供信息，包括材料、粒子物理、环境、医学和健康科学。该项目开发了广泛的数据科学培训计划，为学员提供跨学科研究经验，并支持少数族裔服务伙伴机构的数据科学教育和研究，为他们担任多样化的教育领导角色做好准备，同时激发对大数据科学的热情该项目识别并消除科学领域常见的数据存储瓶颈，并开发现代数据存储网络基础设施，将科学分析扩展到本地以及现有国家 NSF 之上的数千个处理器和 PB 数据网络基础设施，同时保持与商业云存储的无缝同步。 9.6 PB 可用的新存储基础设施的部署通过在威斯康星大学所有三个本地校区（西雅图、博塞尔、塔科马）提供可扩展的低延迟数据访问和出口，推动了所有大数据研究学科的发展。 新的数据存储生态系统通过以下方式促进研究范式转变：（1）推进高通量数据分析的发展； （2）鼓励通过共同的数据落地路径开展协作大数据研究； (3) 提供高度安全且宽松的数据管理计划，以允许合规使用受监管的研究数据； (4) 通过汇集本质上不同的科学和工程学科来支持融合科学。该奖项反映了 NSF 的法定使命，并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。