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MRI: Development of a High-Performance Database Appliance for Geospatial Applications

MRI: Development of a High-Performance Database Appliance for Geospatial Applications
MRI:开发用于地理空间应用的高性能数据库设备
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

项目摘要

项目成果

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中文摘要
翻译
提案编号:CNS 08- 21345 PI:Rishe,Naphtali D. Christidis,Evangelos; Li,Tao; Rangaswami,Raju机构:佛罗里达国际大学 迈阿密,FL 33174- 2516标题: MRI/器械:Dev.该项目旨在开发一种高性能的下一代硬件/软件工具,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接近存储的复杂操作,包括信息检索(关键字),结构(SQL)和地理空间标准的数据搜索。这种可复制的仪器由一个可扩展的存储和计算云组成,包括一个处理器阵列,每个处理器都配备了固态磁盘(SSD)和机械磁盘。处理器与SSD的这种耦合使得许多地理空间问题的性能提高了一个数量级。这项工作需要调整现有的空间数据库管理,查询和接口系统,以适应这种新的架构和部署开放标准的API。该工具将包括一个基础地图,其中包括全国航空摄影、街道矢量、人口统计和地籍数据。为了底图的完整性,大部分已经为TerraFly项目组装、改进和镶嵌的数据(40 TB)将被移植到仪器中,需要扩展。该工具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)和数据挖掘,特征识别和可视化。对算法的启用研究的示例范围从优化对象描述中的关键字包含的查询过滤,到丰富空间查询语言以纳入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名功能。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,启用实时多维索引,结合大量的地理空间数据,也促进了灾害管理方面的应用研究(例如,更广泛的影响:该项目可以应用于环境监测、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空间和时间管理,该工具广泛造福于社会。具体而言,该仪器影响全国的计算机科学和减灾研究。一旦该工具成功商业化,它还应服务于许多关键的政府和商业应用程序,需要高性能查询非常大的地理空间数据库。此外,在这个少数民族服务大学(MSI)的许多学生很可能会受到启发,继续走向研究生学位和/或继续他们的职业生涯在科学和工程中受益。
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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