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CC* Storage: The South Dakota Data Store, a Modular, Affordable Platform to Enable Data-Intensive Research and Education

CC* Storage: The South Dakota Data Store, a Modular, Affordable Platform to Enable Data-Intensive Research and Education
CC* 存储:南达科他州数据存储,一个模块化、经济实惠的平台,可实现数据密集型研究和教育
批准号:
1659282
负责人:
Douglas Jennewein
金额:
$19.82万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-03-01 至 2020-02-29

项目摘要

项目成果

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中文摘要
翻译
数据驱动研究的机会越来越多,赞助研究对数据管理的要求也越来越高,这导致越来越需要保留不经常访问的长期档案数据集,以及定期访问以重新访问、修改和共享实验结果的数据的“活跃档案”。在这个项目中,南达科他州大学将获得、部署和维护南达科他州数据存储(SDDS),这是一个与现有校园网络基础设施集成的网络可访问、可共享的多校园存储资源。最初,SDDS将支持南达科他州四所机构的八个部门的十二个STEM项目,包括30名教师,43名博士后和303名学生。SDDS将为南达科他州的研究人员提供一个集中、高效、高性能的平台,用于大量电子数据的存档和共享访问。SDDS包括两个主要服务。共享层为需要持续访问大量数据的研究提供高可靠性、高可用性、网络可访问的存储。归档层提供长期的异地归档级存储。SDDS将为南达科他州大学的所有教职员工、博士后、学生和研究生提供服务。通过多个机构的合作,SDDS还将为南达科他州立大学、黑山州立大学和南达科他州矿业与技术学院的研究人员提供服务,并向所有教育和非营利性非商业研究人员开放进一步的社区采用。该项目利用了南达科他州大学和南达科他州立大学在专用科学DMZ网络上的先前投资。所有参与者将能够通过现有的10Gb连接访问SDDS,并使用所有相关机构现有的PerfSONAR部署确保端到端性能测量。
英文摘要
Expanding opportunities for data-driven research and increasing requirements for data management in sponsored research have resulted in a growing need for retention of both long-term archival data sets that are infrequently accessed, as well as 'active archives' of data that are accessed periodically to revisit, revise, and share experimental results. For this project, the University of South Dakota will acquire, deploy, and maintain the South Dakota Data Store (SDDS), a network-accessible, sharable, multi-campus storage resource integrated with existing campus cyberinfrastructure. Initially, SDDS will support twelve STEM projects across eight departments at four institutions in South Dakota, including 30 faculty, 43 postdocs, and 303 students. SDDS will provide South Dakota researchers with a centralized, efficient, high-performance platform for both archival of and shared access to large quantities of electronic data. SDDS includes two major services. The Sharing Tier provides high-reliability, high-availability, network-accessible storage for research requiring persistent access to large quantities of data. The Archival Tier provides long-term offsite archival-grade storage. SDDS will serve all faculty, staff, postdocs, students, and graduate students at the University of South Dakota. Through a partnership of multiple institutions, SDDS will also serve researchers at South Dakota State University, Black Hills State University, and the South Dakota School of Mines and Technology, with access open to further community adoption by all educational and not-for-profit noncommercial researchers. The project leverages prior investments at the University of South Dakota and South Dakota State University in dedicated Science DMZ networks. All participants will be able to access SDDS via existing 10Gb connectivity, and end-to-end performance measurement is ensured using existing PerfSONAR deployments at all involved institutions.
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CC* Compute: The Arizona Federated Open Research Computing Enclave (AFORCE), an Advanced Computing Platform for Science, Engineering, and Health
  • 批准号:
    2126303
  • 项目类别:
    Standard Grant
  • 资助金额:
    $40.0万
  • 财政年份:
    2021
  • 负责人:
    Douglas Jennewein
  • 依托单位:
CC* Networking Infrastructure: Science DMZ for Data-enabled Science, Engineering, and Health
  • 批准号:
    2018886
  • 项目类别:
    Standard Grant
  • 资助金额:
    $49.43万
  • 财政年份:
    2020
  • 负责人:
    Douglas Jennewein
  • 依托单位:
MRI: Acquisition of the Lawrence Supercomputer to Advance Multidisciplinary Research in South Dakota
国内基金
海外基金
面向 In-Storage 智能计算的高性能 SSD 控制器研究
  • 批准号:
    ZCLJHSQY26F0401
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    何越
  • 依托单位:
面向in-storage智能计算的固态硬盘缓存管理优化
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2022
  • 负责人:
    廖剑伟
  • 依托单位: