CC* Data Storage: Cost-effective Attached Storage for High throughput computing using Homo- geneous IT (CASH HIT) supporting Penn State Science, the Open Science Grid and LIGO

科学计算需求继续以指数速度增长，这是由于数据的指数增长经常超过可用资源。高性能、高性价比的数据存储是生成和分析大型数据集的科学工作流程的关键组成部分。宾夕法尼亚州立大学正在为包括物理学、天文学、生物学和材料科学在内的许多科学领域的研究人员提供具有成本效益的数据存储。这项工作支持了从宾州州立大学当地研究人员到全国各地研究人员的各种规模的科学研究。大部分存储通过开放科学网格提供给外部社区，该网格允许美国研究人员免费访问计算资源。该项目团队正在探索几个重要的科学课题，包括寻找由黑洞引起的空间涟漪，寻找太阳系外可能支持生命的行星，以及研究基因调控。项目目标包括发展与国家网络基础设施工作的关系，如“推进吞吐量计算伙伴关系”；建立一支能够利用经济高效的开源存储的员工队伍；并且使现有的存储资源和预算限制无法实现的研究成为可能。该项目旨在提供7.8 PB的存储空间。2.9 PB的存储空间（37%）将供外部社区使用，而剩余的4.9 PB将在内部使用。在外部分配的存储中，2pb将用于开放科学数据联盟（OSDF）应用程序，900tb将支持一个新的区域计划，为宾夕法尼亚州服务不足的机构提供存储。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Scientific computing needs continue to grow at an exponential rate driven by an exponential growth in data that often outpaces available resources. High performance, cost effective, data storage is a critical component of scientific workflows that produce and analyze large datasets. Penn State is providing cost-effective data storage to researchers across many scientific domains including physics, astronomy, biology and materials science. This work supports science at various scales from local Penn State researchers to researchers across the country. Much of the storage is available to external communities through the Open Science Grid, which allows US researchers to gain free access to computing resources. The project team is exploring several important scientific topics with storage including searching for ripples in space caused by black holes, searching for planets outside of our solar system that could support life, and studying gene regulation.Project goals include developing relationships with national cyberinfrastructure efforts such as the Partnership to Advance Throughput computing; building a workforce that is able to leverage cost-effective, open source storage; and enabling research that otherwise would not be possible with existing storage resources and budgetary constraints. The project aims to provide 7.8 petabytes (PB) of storage. 2.9 PB of the storage (37%) will be available to external communities while the remaining 4.9 PB will be used internally. Among the externally allocated storage, 2 PB will be used for Open Science Data Federation (OSDF) applications and 900 TB will support a new regional initiative to provide storage for underserved institutions in Pennsylvania.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.