MRI: Development of a High-Performance Database Appliance for Geospatial Applications
MRI: Development of a High-Performance Database Appliance for Geospatial Applications
批准号:
0821345
负责人:
Naphtali Rishe
金额:
$100.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-08-01 至 2015-07-31
中文摘要
提案#:CNS 08-21345PI(s): Rishe, Naphtali D. Christidis, Evangelos;李,道;机构:佛罗里达国际大学迈阿密分校,佛罗里达州33174-2516职称:MRI/Dev。项目建议:该项目开发一种高性能的下一代硬件/软件仪器,能够有效地执行复杂的地理空间和其他查询,实现与地理空间数据转换和查询相关的近存储复杂操作,包括使用信息检索(关键字)、结构(SQL)和地理空间标准进行数据搜索。这种可复制的仪器由一个可扩展的存储和计算云组成,该云由一系列处理器组成,每个处理器都配备了固态磁盘(SSD)和机械磁盘。这种处理器与ssd的耦合使得许多地理空间问题的性能提高了一个数量级。这项工作需要使现有的空间数据库管理、查询和接口系统适应这种新的体系结构,并部署开放标准的api。该工具将包括一个由全国航空摄影、街道矢量、人口统计和地籍数据组成的基础地图。为了完整的底图,大部分已经为TerraFly项目组装、改进和拼接的数据(40TB)将被移植到仪器中,需要扩展。该仪器促进了计算机科学研究的几个领域,包括查询算法、存储系统、地理信息系统(GIS)、数据挖掘、特征识别和可视化。已启用的算法研究的例子包括:从对关键字“对象中的包含”描述的查询过滤的优化,到丰富空间查询语言以合并IR约束,以及创建考虑对象的形状、位置和文本描述的复杂个性化排序函数。许多例子涉及特征识别,适当地服务于多个计算机科学和减灾研究领域。此外,实时多维索引的实现,加上大量地理空间数据,也促进了灾害管理方面的应用研究(例如,使用高分辨率飓风影响模型来预测逐屋破坏的可能性)。更广泛的影响:该项目可用于环境监测、交通、教育、公共卫生和安全。通过对灾害管理等许多方面所需的数据进行有效的时空管理,该工具广泛造福社会。具体而言,该仪器影响了全国的计算机科学和减灾研究。一旦该仪器成功商业化,它还应该服务于许多关键的政府和商业应用程序,这些应用程序需要对非常大的地理空间数据库进行高性能查询。此外,这所少数民族服务大学(MSI)的许多学生可能会受到启发,继续攻读研究生学位,并/或继续他们在科学和工程领域的职业生涯。
英文摘要
Proposal #: CNS 08-21345PI(s): Rishe, Naphtali D. Christidis, Evangelos; Li, Tao; Rangaswami, RajuInstitution: Florida International University Miami, FL 33174-2516Title: MRI/Dev.: Dev. Of a High Performance Database Appliance for Geospatial ApplicationsProject Proposed:This project, developing a high-performance next-generation hardware/software instrument able to efficiently perform complex geospatial and other queries, enables close-to-storage complex operations related to geospatial data transformation and querying, including data search with information retrieval (keywords), structural (SQL), and geospatial criteria. This replicable instrument consists of a scalable storage and computation cloud comprising an array of processors, each equipped with solid-state disks (SSD) and mechanical disks. This coupling of processors to SSDs allows an order of magnitude in performance improvement for many geospatial problems. The work entails adapting existing spatial database management, querying, and interface systems to this new architecture and deploying open-standard APIs. The instrument will include a base-map comprising nationwide aerial photography, street vectors, demographics, and cadastre data. For completeness of the basemap, most of the data (40TB) already assembled, ameliorated, and mosaiced for the TerraFly project that will be ported into the instrument, requires expansion. The instrument facilitates several areas in computer science research, including query algorithms, storage systems, geographic information systems (GIS), and data mining, feature recognition, and visualization. Examples of enabled research on algorithms range from optimization of query filtering on keywords 'containment in the objects' description to enriching spatial query languages to incorporate IR constraints and creating complex personalized ranking functions that consider the shape, location, and textual description of objects. Many examples involve feature recognition, appropriately serving multiple computer science and disaster mitigation research areas. Moreover, the enablement of real-time multi-dimensional indexing, combined with the multitude of geospatial data, also facilitates applied research in disaster management (e.g., use of high-resolution hurricane impact models to predict the possibility of damage on a house-by-house basis).Broader Impacts: This project enables applications in environmental monitoring, transportation, education, public health, and safety. By providing efficient spatial and temporal management of data needed by many constituencies such as disaster management, the instrument broadly benefits society. Specifically, the instrument impacts computer science and disaster mitigation research nationwide. Once the instrument is successfully commercialized, it should also serve many critical government and business applications requiring high-performance querying of very large geospatial databases. Furthermore, many students in this Minority Serving University (MSI) are likely to be inspired to continue towards a graduate degree and/or benefit by continuing their careers in science and engineering.
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