Research of proactive complex event processing method

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 reso...

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Main Authors: Shao-feng GENG, Yong-heng WANG, Ren-fa LI, Jia ZHANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2016-09-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016183/
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author Shao-feng GENG
Yong-heng WANG
Ren-fa LI
Jia ZHANG
author_facet Shao-feng GENG
Yong-heng WANG
Ren-fa LI
Jia ZHANG
author_sort Shao-feng GENG
collection DOAJ
description 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.
format Article
id doaj-art-42e322f365a44441824a592eceaea96e
institution Kabale University
issn 1000-436X
language zho
publishDate 2016-09-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-42e322f365a44441824a592eceaea96e2025-01-14T06:55:58ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2016-09-013711112059703516Research of proactive complex event processing methodShao-feng GENGYong-heng WANGRen-fa LIJia ZHANGBased 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.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016183/CPSbig datacomplex event processingMarkov decision process
spellingShingle Shao-feng GENG
Yong-heng WANG
Ren-fa LI
Jia ZHANG
Research of proactive complex event processing method
Tongxin xuebao
CPS
big data
complex event processing
Markov decision process
title Research of proactive complex event processing method
title_full Research of proactive complex event processing method
title_fullStr Research of proactive complex event processing method
title_full_unstemmed Research of proactive complex event processing method
title_short Research of proactive complex event processing method
title_sort research of proactive complex event processing method
topic CPS
big data
complex event processing
Markov decision process
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2016183/
work_keys_str_mv AT shaofenggeng researchofproactivecomplexeventprocessingmethod
AT yonghengwang researchofproactivecomplexeventprocessingmethod
AT renfali researchofproactivecomplexeventprocessingmethod
AT jiazhang researchofproactivecomplexeventprocessingmethod