II-NEW: Research Infrastructure for Big Spatial and Temporal Data

II-新：大时空数据的研究基础设施

• 批准号: 1512877
• 负责人: Mohamed Mokbel
• 金额: $ 39.15万
• 依托单位: University of Minnesota-Twin Cities
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1512877&HistoricalAwards=false
• 关键词: II; NEW; Research; Infrastructure; Big

This infrastructure project responds to the urgent need of managing and analyzing big spatial and spatio-temporal data. Such data is continuously produced from various devices including smart phones, space telescopes, and medical devices. The project goes beyond the idea of supporting spatial and spatio-temporal data using general purpose big data engines, by developing specialized spatial and spatio-temporal big data systems and algorithms. The hardware infrastructure acquired in this project, including new architectures such as Graphical Processing Units (GPU) and Solid State Drives (SSD), is used to study and develop spatial and spatio-temporal big data systems and techniques for various software and hardware platforms.The software platforms studied range from traditional parallel database systems to state-of-the-art distributed computing platforms. Hardware platforms include large clusters of distributed computed nodes of commodity machines, GPUs, and SSDs. Spatial and spatio-temporal big data techniques investigated include indexing, querying, and map rendering. The project encapsulates its developed techniques in publicly available open-source free software. In addition to use within the University of Minnesota, the acquired hardware infrastructure is made accessible to developers, practitioners, and researchers worldwide through a wide set of publicly available web services for spatial and spatio-temporal big data.

该基础设施项目满足了管理和分析大空间和时空数据的迫切需求。这些数据是从智能手机、太空望远镜和医疗设备等各种设备中不断产生的。该项目超越了使用通用大数据引擎支持空间和时空数据的想法，开发了专门的空间和时空大数据系统和算法。该项目获得的硬件基础设施，包括图形处理单元（GPU）和固态硬盘（SSD）等新架构，用于研究和开发各种软硬件平台的时空大数据系统和技术。研究的软件平台范围从传统的并行数据库系统到最先进的分布式计算平台。硬件平台包括商用机器、GPU 和 SSD 的大型分布式计算节点集群。研究的时空大数据技术包括索引、查询和地图渲染。该项目将其开发的技术封装在公开可用的开源免费软件中。除了在明尼苏达大学内部使用之外，世界各地的开发人员、从业者和研究人员还可以通过一系列公开可用的空间和时空大数据网络服务来访问所获得的硬件基础设施。