Research Infrastructure: CC* Data Storage: Rice Collaborative Object Store

研究基础设施：CC* 数据存储：Rice 协作对象存储

• 批准号: 2322372
• 负责人: Erik Engquist
• 金额: $ 20.6万
• 依托单位: William Marsh Rice University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322372&HistoricalAwards=false
• 关键词: Research; Infrastructure; CC; Data; Storage

Research in areas such as modeling and simulation, AI and machine learning, large-scale geospatial analysis, automated data mining of large digital text and image collections, and bioengineering produce terabyte and petabyte-scale data sets that require production-level storage, access, and transfer services. The Rice Collaborative Object Store adds an S3 compatible resource to on-campus cyberinfrastructure services, providing much needed capacity for multi-terabyte data, making that data available for local -or distant- computational analysis, sharing with distributed collaborations, or available for public access. As the research computing and data applications expand across fields, there is a need to create opportunities for workforce development in the area of cyberinfrastructure. This project introduces students to the advanced computing ecosystem, providing training on local storage and compute resources, and user facilitation. These student trainees actively participate in research engagement with the collaborating use case groups to utilize this new resource and the Open Storage Network (OSN).The Rice Collaborative Object Store node joins the production-level OSN, which is part of the nation’s growing federated data fabric. Providing low-cost, efficient services based on open-source software, the OSN has nodes at many of the national or regional advanced computing centers. The system consists of three compute nodes in a high availability configuration, 1.9PB disk, and Ceph storage software, connected at 100 gigabits from the Rice University ScienceDMZ network. The resource contributes 20% of the available storage to the common OSN allocation pool that is available to researchers across the U.S.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.

建模和仿真、人工智能和机器学习、大规模地理空间分析、大型数字文本和图像集合的自动数据挖掘以及生物工程等领域的研究产生了 TB 和 PB 级数据集，需要生产级存储、访问、 Rice 协作对象存储为校园网络基础设施服务添加了 S3 兼容资源，为多 TB 数据提供急需的容量，使该数据可用于本地或远程计算。随着研究计算和数据应用跨领域扩展，需要为网络基础设施领域的劳动力发展创造机会。这些学生学员积极参与协作用例组的研究活动，以利用这一新资源和开放存储网络 (OSN)。Rice 协作对象存储节点加入。生产级OSN 是国家不断发展的联合数据结构的一部分，提供基于开源软件的低成本、高效服务，该系统在许多国家或地区的先进计算中心拥有节点。高可用性配置、1.9PB 磁盘和 Ceph 存储软件，以 100 GB 连接到莱斯大学 ScienceDMZ 网络。该资源为研究人员可用的通用 OSN 分配池贡献了 20% 的可用存储。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。