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

University Of North Texas, Denton TX

Investigators

Abstract

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/