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...
Saved in:
Main Authors: | , , , |
---|---|
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/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1841539569442357248 |
---|---|
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 |