III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based Approach

III：小型：AegisDB：集成实时地理流处理和监测系统：基于数据类型的方法

• 批准号: 1017926
• 负责人: Yan Huang
• 金额: $ 45.06万
• 依托单位: University of North Texas
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1017926&HistoricalAwards=false
• 关键词: III; Small; AegisDB; Integrated; Real

This project contributes to the exciting field of geo-stream processing. Specifically, an integrated real-time geo-stream processing and monitoring system called AegisDB will be built and the research environment and results will be leveraged to stimulate learning at the K-12, undergraduate, and graduate levels. The AegisDB system includes a Geo-Stream Algebra which uses a data-type-based approach as opposed to a traditional tuple-based approach for representing and querying geo-streams. The STREAM data types of the algebra unify static data, traditional streams, geo-streams from fixed locations, and geo-streams that move. The proposed Aggregate Algebra generalizes the operator GROUP BY to generalized aggregations (GAs) and bridges the fundamental gap between point observations from sensors and spatio-temporally continuous phenomena. Several novel spatial-centric operator optimization techniques are proposed, which include a velocity-based filtering that utilizes the physical limitations of most moving objects and a spatial-coverage-based query combination that combines geo-stream queries based on their intended spatial coverage.The proposed AegisDB system will transform the ways to define and monitor more sophisticated spatio-temporal events for alerting purposes. The result is the significantly improved realtime access to important spatio-temporal events related to our lives by professionals and the general public. The system will be critical for important domains including transportation, environmental science, hazard monitoring, and emergency responses. This project has strong education and outreach components. Environmental models for K-12 teachers and students using real-time environmental datasets will be designed. An informal session on how to collect, store, and distribute environmental data will be presented through the Family Fun Science Saturday events of the Elm Fork Education Center of UNT. A course module on geo-stream processing will be developed. Women and minorities will be recruited into the research project. Undergraduate students looking for research opportunities will be mentored. For further information concerning this project see the project web page: URL: http://www.cse.unt.edu/~huangyan/AegisDB/

该项目为令人兴奋的地理流处理领域做出了贡献。具体来说，将建立一个名为 AegisDB 的集成实时地理流处理和监控系统，并利用研究环境和成果来促进 K-12、本科生和研究生水平的学习。 AegisDB 系统包括一个地理流代数，它使用基于数据类型的方法而不是传统的基于元组的方法来表示和查询地理流。代数的 STREAM 数据类型统一了静态数据、传统流、固定位置的地理流和移动的地理流。所提出的聚合代数将算子 GROUP BY 推广到广义聚合 (GA)，并弥合了传感器的点观测与时空连续现象之间的基本差距。 提出了几种新颖的以空间为中心的算子优化技术，其中包括利用大多数移动对象的物理限制的基于速度的过滤和基于空间覆盖的查询组合，该组合根据预期的空间覆盖范围组合了地理流查询。拟议的 AegisDB 系统将改变定义和监控更复杂的时空事件以发出警报的方式。其结果是专业人士和公众对与我们生活相关的重要时空事件的实时访问得到显着改善。该系统对于交通、环境科学、危险监测和应急响应等重要领域至关重要。 该项目具有强大的教育和推广内容。 将使用实时环境数据集为 K-12 教师和学生设计环境模型。 UNT 埃尔姆福克教育中心的家庭乐趣科学周六活动将举办一场关于如何收集、存储和分发环境数据的非正式会议。将开发一个关于地理流处理的课程模块。该研究项目将招募妇女和少数族裔。寻找研究机会的本科生将得到指导。有关该项目的更多信息请参阅项目网页： URL：http://www.cse.unt.edu/~huangyan/AegisDB/