Risk prediction system based on risk prediction model with complex event processing: Risk prediction in real time on complex event processing engine

Yoon Ki Kim, Chang-Sung Jeong

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

System failure mainly arises from various reasons. It would most likely become an immediate cause of accident. It is difficult to predict system failure in real-time, since it is hard to detect which subsystem caused the whole system failure. To track the system failure in real-time, we have to recognize immediately the failure of each subsystem. In this paper, we propose new a risk prediction model and risk prediction system architecture to trace the failure of system in real-time by using fault tree analysis (FTA) on complex event processing (CEP) engine. We shall show our new risk prediction model efficiently enables CEP system to predict the risk before any undesired event occurs, and to prevent disaster, accident and disease in advance.

Original languageEnglish
Title of host publicationProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages711-715
Number of pages5
ISBN (Print)9781479967193
DOIs
Publication statusPublished - 2015 Feb 5
Event4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 - Sydney, Australia
Duration: 2014 Dec 32014 Dec 5

Other

Other4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014
CountryAustralia
CitySydney
Period14/12/314/12/5

Keywords

  • Complex Event Processing (CEP)
  • Fault Tree Analysis (FTA)
  • Real-time Processing
  • Risk Prediction model

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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