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 language | English |
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| Title of host publication | Proceedings - 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 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 711-715 |
| Number of pages | 5 |
| ISBN (Print) | 9781479967193 |
| DOIs | |
| Publication status | Published - 2015 Feb 5 |
| Event | 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 - Sydney, Australia Duration: 2014 Dec 3 → 2014 Dec 5 |
Other
| Other | 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 |
|---|---|
| Country/Territory | Australia |
| City | Sydney |
| Period | 14/12/3 → 14/12/5 |
Keywords
- Complex Event Processing (CEP)
- Fault Tree Analysis (FTA)
- Real-time Processing
- Risk Prediction model
ASJC Scopus subject areas
- Software
- Computer Networks and Communications