主动式复杂事件处理方法的研究

耿少峰; 王永恒; 李仁发; 张佳

doi:10.11959/j.issn.1000-436x.2016183

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主动式复杂事件处理方法的研究

学术论文 | 更新时间：2024-06-05

- 主动式复杂事件处理方法的研究
- Research of proactive complex event processing method
- 通信学报 2016年37卷第9期页码：111-120
- 作者机构：
  
  1. 湖南大学信息科学与工程学院，湖南长沙 410082
  2. 集美大学计算机工程学院，福建厦门 361021
- 作者简介：
  
  [ "耿少峰（1981-），男，河南台前人，湖南大学博士生，主要研究方向为 CPS、复杂事件处理等。" ]
  [ "王永恒（1973-），男，河北霸州人，湖南大学副教授，主要研究方向为物联网、数据挖掘等。" ]
  [ "李仁发（1957-），男，湖南宜章人，湖南大学教授、博士生导师，主要研究方向为CPS、嵌入式系统和无线传感网等。" ]
  [ "张佳（1980-），女，河南新乡人，集美大学讲师，主要研究方向为物联网、嵌入式系统等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61173036);国家自然科学基金资助项目(61371116);福建省教育厅基金资助项目(JA14186)
- DOI：10.11959/j.issn.1000-436x.2016183
  中图分类号： TP391
- 网络出版日期：2016-09，
  
  纸质出版日期：2016-09-25
- 稿件说明：
移动端阅览
耿少峰, 王永恒, 李仁发, 等. 主动式复杂事件处理方法的研究[J]. 通信学报, 2016,37(9):111-120.

Shao-feng GENG, Yong-heng WANG, Ren-fa LI, et al. Research of proactive complex event processing method[J]. Journal on communications, 2016, 37(9): 111-120.
耿少峰, 王永恒, 李仁发, 等. 主动式复杂事件处理方法的研究[J]. 通信学报, 2016,37(9):111-120. DOI： 10.11959/j.issn.1000-436x.2016183.

Shao-feng GENG, Yong-heng WANG, Ren-fa LI, et al. Research of proactive complex event processing method[J]. Journal on communications, 2016, 37(9): 111-120. DOI： 10.11959/j.issn.1000-436x.2016183.

摘要

在CPS的应用背景下，对传感器和控制设备产生的不确定性事件流进行分析和处理得出高层事件，然后在此基础上引入适应性动态贝叶斯网络和并行马尔可夫决策过程模型来支持主动式的复杂事件处理。针对大型CPS中马尔可夫决策过程存在的状态数量巨大的问题，引入状态划分和报酬分解的方法来进行并行优化。在模拟交通网络的环境中，实验结果显示所提方法能有效地处理事件流，并具有良好的可扩展性。

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 decision 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

Keywords

references

LUCKHAM D C . The power of events:an introduction to complex event processing in distributed enterprise systems [M ] . Boston,Addison Wesley , 2002 .

ENGEL Y , ETZION O . Towards proactive event-driven computing [C ] // The Fifth ACM International Conference on Distributed Event-Based Systems . 2011 : 125 - 136 .

ETZION O , NIBLETT P . Event processing in action [M ] . Manning Publications , 2010 .

WU E , DIAO Y , RIZVI S . High-performance complex event processing over streams [C ] // 2006 ACM SIGMOD International Conference on Management of Data . 2006 : 27 - 29 .

AGRAWAL J , DIAO Y , GYLLSTROM D . Efficient pattern matching over event streams [C ] // SIGMOD Conference . 2008 : 147 - 160 .

ZHANG H , DIAO Y , IMMERMAN N . Recognizing patterns in streams with imprecise timestamps [J ] . PVLDB , 2010 , 3 ( 1 ): 244 - 255 .

XU C , LIN S , LEI W . Complex event detection in probabilistic stream [C ] // The 12th International Asia-Pacific Web Conference . 2010 : 361 - 363 .

KAWASHIMA H , KITAGAWA H , LI X . Complex event processing over uncertain data streams [C ] // The Fifth International Conference on P2P,Parallel,Grid,Cloud and Internet Computing . 2010 : 521 - 526 .

KAWASHIMA H , KITAGAWA H , LI X . Complex event processing over uncertain data streams [C ] // 3PGCIC . 2010 : 521 - 526 .

WELBOURNE E,KHOUSSAINOVA N , LETCHNER J , et a1 . Cascadia:a system for specifying,detecting,and managing RFID events [C ] // The 6th International Conference on Mobile Systems,Applications,and Services . 2008 : 281 - 294 .

DOLEV S , KOPEETSKY M , SHAMIR A . RFID authentication efficient proactive information security within computational security [J ] . Theory of Computing Systems , 2011 , 48 ( 1 ): 132 - 149 .

KUNZ T , ALHALIMI R . Energy-efficient proactive routing in MANET:energy metrics accuracy [J ] . Ad Hoc Networks , 2010 , 8 ( 7 ): 755 - 766 .

ENGEL Y , ETZION O , FELDMAN Z . A basic model for proactive event-driven computing [C ] // The 6th ACM International Conference on Distributed Event-Based Systems (DEBS'12) . 2012 : 107 - 118 .

ENGEL Y , ETZION O . Towards proactive event-driven computing [C ] // The Fifth ACM International Conference on Distributed Event-Based Systems,DEBS . 2011 : 125 - 136 .

JIA Q S . On state aggregation to approximate complex value functions in large-scale Markov decision processes [J ] . IEEE Transactions on Automatic Control , 2011 , 56 ( 2 ): 333 - 344 .

SUN T , ZHAO Q C , LUH P B . Incremental value iteration for timeaggregated Markov decision processes [J ] . IEEE Transactions on Automatic Control , 2007 , 52 ( 11 ): 2177 - 2182 .

POWELL W B . Approximate dynamic programming:solving the curse of dimensionality [M ] . New York,Wiley-Inter Science , 2007 .

JIA Q S , ZHAO Q C . Strategy optimization for controlled Markov process with descriptive complexity constraint [J ] . Science in China , 2009 , 52 ( 11 ): 1993 - 2005 .

WANG Y H , CAO K N , ZHANG X M . Complex event processing over distributed probabilistic event streams computers and mathematics with applications [J ] . Computers & Mathematics with Applications , 2012 , 66 ( 10 ): 1808 - 1821 .

PASCALE A , NICOLI M . Adaptive Bayesian network for traffic flow prediction [C ] // Statistical Signal Processing Workshop (SSP) . IEEE , 2011 : 177 - 180 .

王永恒 , 杨圣洪 . 分布式 RFID 数据流的复合事件检测方法 [J ] . 计算机应用研究 , 2011 , 28 ( 11 ): 4177 - 4179 .

WANG Y H , YANG S H . Complex event detection method for distributed RFID systems [J ] . Application Research of Computer , 2011 , 28 ( 11 ): 4177 - 4179 .

BEHRISCH M , BIEKER L , ERDMANN J , et al . Sumo -simulation of urban mobility:an overview [C ] // The Third International Conference on Advances in System Simulation . Barcelona,Spain , 2011 : 63 - 68 .

WANG F , LIU S , LIU P , et al . Bridging physical and virtual worlds:complex event processing for RFID data streams [C ] // The 10th International Conference on Extending Database Technology (EDBT'2006) . 2006 : 588 - 607 .

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