III-COR-Small: Towards Ubiquitous Location Services: Scalability and Privacy of Location-based Continuous Queries

III-COR-Small：迈向无处不在的位置服务：基于位置的连续查询的可扩展性和隐私性

• 批准号: 0811998
• 负责人: Mohamed Mokbel
• 金额: $ 45万
• 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: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0811998&HistoricalAwards=false
• 关键词: III; COR; Small; Towards; Ubiquitous

Location-based continuous queries are the backbone for monitoring, alerting, and notification location-based services. The current technologies and software infrastructure behind existing location-based continuous queries are not designed to handle their formidable rise in usage nor to maintain the location privacy of their users. The goal of this project is to conduct research, develop requisite knowledge, and build software infrastructure to (1) scale up location-based continuous queries to deal with very large number of users, and (2) inject privacy-awareness in location-based continuous queries where a high quality real time answer can be provided without the explicit knowledge of user locations. The project achieves its goals using the following approaches: (1) employ a built-in approach in which location-based queries are realized as query operators inside a database engine, (2) develop adaptive location-aware query optimization techniques, (3) exploit shared execution and load shedding techniques for location-based continuous queries(4) exploit the trade-off between user privacy and quality of service, and (5) develop efficient privacy-preserving continuous query processing techniques. Applications will benefit from this project include location-based emergency response, intelligent transportation systems, traffic control, fleet management, and location-based advertising. The project supports PhD students to pursue research in the areas of location-based services and database systems. Related tutorials and workshops are organized. A new graduate-level course integrating the research results from this project is introduced. Publications, technical reports, software, and experimental data from this research are disseminated via the project web site(http://www.cs.umn.edu/~mokbel/LocationBasedQueries).

基于位置的连续查询是基于位置的监视、警报和通知服务的骨干。现有的基于位置的连续查询背后的当前技术和软件基础设施，既不能处理其使用量的惊人增长，也不能维护其用户的位置隐私。该项目的目标是进行研究，开发必要的知识，并构建软件基础设施，以(1)扩展基于位置的连续查询以处理大量用户，(2)在基于位置的连续查询中注入隐私意识，在不明确了解用户位置的情况下，可以提供高质量的实时答案。该项目使用以下方法实现其目标：(1)采用内置方法，将基于位置的查询作为数据库引擎内的查询操作符实现；(2)开发自适应的位置感知查询优化技术；(3)利用基于位置的连续查询的共享执行和减载技术；(4)利用用户隐私和服务质量之间的权衡；(5)开发高效的保护隐私的连续查询处理技术。应用程序将受益于该项目，包括基于位置的应急响应、智能交通系统、交通控制、车队管理和基于位置的广告。该项目支持博士生在基于位置的服务和数据库系统领域进行研究。组织了相关的教程和研讨会。结合本课题的研究成果，介绍了一门新的研究生课程。本研究的出版物、技术报告、软件和实验数据通过项目网站（http://www.cs.umn.edu/~mokbel/LocationBasedQueries）发布。