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

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
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-08-01 至 2025-07-31

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中文摘要
翻译
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需要生产级存储、访问和传输服务的TB和PB级数据集。赖斯协作对象存储将S3兼容资源添加到校园内的网络基础设施服务中,为数TB数据提供急需的容量,使这些数据可用于本地或远程计算分析、与分布式协作共享或可供公众访问。随着研究、计算和数据应用在各个领域的扩展,需要在网络基础设施领域为劳动力发展创造机会。该项目向学生介绍高级计算生态系统,提供有关本地存储和计算资源以及用户便利化的培训。这些学员积极参与协作用例小组的研究,以利用这一新资源和开放存储网络(OSN)。赖斯协作对象存储节点加入了生产级OSN,后者是国家不断增长的联合数据结构的一部分。OSN基于开源软件提供低成本、高效率的服务,在许多国家或地区的先进计算中心设有节点。该系统由三个高可用性配置的计算节点、1.9PB磁盘和Cave存储软件组成,从莱斯大学科学DMZ网络以100千兆位连接。该资源将20%的可用存储空间贡献给美国各地的研究人员可用的公共OSN分配池。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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