Research Infrastructure: CC* Data Storage: 20 Petabyte Campus Research Storage Facility at Johns Hopkins University

研究基础设施：CC* 数据存储：约翰霍普金斯大学 20 PB 校园研究存储设施

• 批准号: 2322201
• 负责人: Charles Meneveau
• 金额: $ 50万
• 依托单位: Johns Hopkins 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: 2023-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2322201&HistoricalAwards=false
• 关键词: Research; Infrastructure; CC; Data; Storage

There is a wide spectrum of ongoing research projects at Johns Hopkins University (JHU) that generate and analyze many petabytes of data. These include both large numerical simulations (turbulence, cosmology, ocean circulation models) and large microscopy data from a broad range of areas (cryoEM, fluorescent microscopy, material science projects, NG sequencing) and various large-scale data fusion projects from digital social science. The JHU Institute for Data Intensive Engineering and Science has been supporting these activities for the last decade by providing a platform to store and serve petabytes at high speeds and at excellent economies of scale across all disciplines at JHU and beyond. After a workshop held at JHU in the summer of 2022 the need for a new larger-scale, campus-wide research storage facility became clear.This CC* project builds a 30PB data facility for Big Data projects, in a very cost-effective way, building on previous NSF investments. The system is based on upgrading the 90-node Data-Scope cluster whose Supermicro chassis and power supplies are standardized and compatible with the latest motherboards and CPUs. These nodes are upgraded at a low per node cost to a AMD Ryzen system and turned into a high-performance Ceph cluster with 30PB net storage capacity. The new storage serves a very wide range of scientific research, including offering many petabytes of open scientific data for global science including SDSS, turbulence, ocean circulation, and cosmology simulations.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.

约翰·霍普金斯大学（JHU）有许多正在进行的研究项目，它们生成和分析了许多数据的数据。其中包括大型数值模拟（湍流，宇宙学，海洋循环模型）和来自广泛领域的大型显微镜数据（冷冻，荧光显微镜，材料科学项目，NG测序）以及来自数字社会科学的各种大规模数据融合项目。在过去的十年中，JHU数据密集型工程和科学研究所一直在支持这些活动，通过提供一个平台，以高速储存和服务于JHU及其他地区的所有学科的优秀规模经济。在2022年夏天在JHU举行的研讨会之后，需要新的大规模研究，校园范围内的研究存储设施变得清晰起来。该CC*项目以非常有效的方式建立了一个30pb的大数据项目数据设施，建立在先前的NSF投资的基础上。该系统基于升级90节点数据范围群集，其SuperMicro底盘和电源标准化并与最新的主板和CPU兼容。这些节点以低节点成本升级到AMD Ryzen系统，并变成具有30pb净存储容量的高性能CEPH群集。新存储提供了非常广泛的科学研究，包括为全球科学提供许多开放科学数据的p，包括SDSS，湍流，海洋循环和宇宙学模拟。该奖项反映了NSF的法定任务，并被认为是通过基金会的智力和更广泛影响的评估来评估通过评估的支持，并被认为是值得的。