A simple but effective event-driven model for data stream queries

Authors:
Yu Gu;Ge Yu;Shanshan Wu;Xiaojing Li;Yanfei Lv;Dejun Yue
Affiliations:
Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China;Northeastern University, Shenyang, China
Venue:
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Year:
2007

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Abstract

With expanding of query requirements, event-relative semantic has appeared for data stream applications. This paper builds a simple but effective event-driven data stream model EQM based on event semantics and features over data stream. Furthermore, some improved approaches over event detection and queries as well as relative efficiency evaluation are discussed. Experiments show that our approaches gain better performance than available data stream model and processing approaches as far as event-relative problem is concerned.