通信学报2016，Vol.37Issue(9)：111-120,10.DOI:10.11959/j.issn.1000-436x.2016183
主动式复杂事件处理方法的研究
Research of proactive complex event processing method
摘要
Abstract
Based on the preliminary analysis results of the indeterminate event stream that generated by the sensors and control purpose equipment of CPS, the adaptive dynamic Bayesian network and parallel Markov decision process model were used to support the proactive complex event processing. In order to resolve the vast state space issue of Markov de-cision process for large CPS, states partition and reward decomposition methods were proposed to parallel the decision making process. The experimental result based on the simulation of traffic network shows that proposed method can process event stream effectively and has favorable scalability.关键词
信息物理融合系统/大数据/复杂事件处理/马尔可夫决策过程Key words
CPS/big data/complex event processing/Markov decision process分类
信息技术与安全科学引用本文复制引用
耿少峰,王永恒,李仁发,张佳..主动式复杂事件处理方法的研究[J].通信学报,2016,37(9):111-120,10.基金项目
国家自然科学基金资助项目（No.61173036，No.61371116）；福建省教育厅基金资助项目（No.JA14186）Foundation Items:The National Natural Science Foundation of China(No.61173036, No.61371116), Foundation of Fujian Educa-tional Committee (No.JA14186) （No.61173036, No.61371116）
