Constraint-Aware Complex Event Pattern Detection over Streams

被引:0
作者
Li, Ming [1 ,3 ]
Mani, Murali [1 ]
Rundensteiner, Elke A. [1 ]
Lin, Tao [2 ]
机构
[1] Worcester Polytech Inst, CS Dept, Worcester, MA 01609 USA
[2] Amit Inc, Res & Dev, Redwood City, CA USA
[3] IBM Corp, Silicon Valley Lab, San Jose, CA USA
来源
DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, PT II, PROCEEDINGS | 2010年 / 5982卷
基金
美国国家科学基金会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we propose a framework for constraint-aware pattern detection over event streams. Given the constraint; of the input streams, our proposed framework on the fly checks the query satisfiability / unsatisfiability using a, lightweight reasoning mechanism. Based on the constraint specified in the input stream, we are able to adjust the processing strategy dynamically, by producing early feedbacks, releasing unnecessary system resources and terminating corresponding pattern monitor, thus effectively decreasing the resource consumption and expediting the system response on certain situations. Our experimental study illustrates the significant performance improvement achieved by the constraint-aware pattern detection framework with little overhead.
引用
收藏
页码:199 / +
页数:2
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