CC* Data Storage: Flexible Affordable Scalable Technology for Research Storage (FAST-Research Storage)

灵活、经济、可扩展的研究存储技术（FAST）是一种基于商用数据中心硬件和开源CEPH软件的共享研究存储系统，可提供灵活、高性能、经济高效的分层数据存储系统，以支持研究数据存储需求。FAST系统提供网络连接存储（NAS）和对象存储存储模式，并沿着指导您在这两种模式之间做出明智的选择。 对象存储服务支持数据集的有效打包，包括完整的元数据集，以供操作使用和长期数据存储。 FAST还包括用于打包、在存储层之间迁移数据的脚本，并有助于使用适当的存储来满足研究人员的要求。 基于云的长期冷存储环境是数据生命周期的一部分，可经济高效地支持数据保留要求。 通过使用商用硬件，FAST可以轻松扩展，并能够将研究人员购买的硬件纳入环境中。该系统（20%）将通过开放科学数据联合会（OSDF）与社区共享，并通过社区存储赠款计划与北卡罗来纳州的少数民族服务机构共享。 这两种共享模式都允许研究人员发布数据供公众使用，将数据用于促进本地分析，并为可能无法访问这些服务的学校提供强大的存储服务。FAST的预期影响是减少研究人员花费在管理数据上的时间、精力和金钱，确保数据的长期访问，并在正确的时间和成本将数据存储在正确的位置。该奖项反映了NSF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。

The Flexible Affordable Scalable Technology for Research Storage (FAST) is a shared research storage system based on commodity data center hardware and open source CEPH software that provides a flexible, high-performance, cost-effective, tiered data storage system in support of research data storage requirements. The FAST system provides both Network Attached Storage (NAS) and Object Store storage models, along with guidance for choosing wisely between them. Object storage services support efficient packaging of data sets, including the complete set of metadata, for both operational use and long-term data storage. FAST also includes scripts to package, migrate data between storage tiers, and facilitate the use of appropriate storage to meet researcher’s requirements. Cloud-based long-term cold storage environments are part of the data lifecycle to support data retention requirements cost-effectively. By using commodity hardware FAST is easily expanded and capable of incorporating researcher purchased hardware into the environment. The system (20%) will be shared with the community via the Open Science Data Federation (OSDF) as well as with minority service institutions in North Carolina through a community storage grant program. Both sharing models allow researchers to publish data for public consumption, stage data to facilitate local analysis and provide robust storage service to schools which may not otherwise have access to these services. The expected impact of FAST is to reduce the amount of time, effort, and money that researchers spend managing their data, ensuring long-term access to data, with the data stored in the right place at the right time and cost.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.