Grossman Robert L, Heath Allison, Murphy Mark, Patterson Maria, Wells Walt
University of Chicago.
Center for Computational Science Research.
Comput Sci Eng. 2016 Sep-Oct;18(5):10-20. doi: 10.1109/MCSE.2016.92. Epub 2016 Aug 24.
Data commons collocate data, storage, and computing infrastructure with core services and commonly used tools and applications for managing, analyzing, and sharing data to create an interoperable resource for the research community. An architecture for data commons is described, as well as some lessons learned from operating several large-scale data commons.
数据共享平台将数据、存储和计算基础设施与核心服务以及用于管理、分析和共享数据的常用工具和应用程序相结合,为研究社区创建一个可互操作的资源。本文描述了数据共享平台的架构,以及从运营多个大规模数据共享平台中吸取的一些经验教训。