A proactive fault-detection mechanism in large-scale cluster systems

To improve the whole dependability of large-scale cluster systems, an online fault detection mechanism is proposed in this paper. This mechanism can detect the fault in time before node fails and enables the proactive fault management. The proposed mechanism is summarized as follows: First, the dynamic characteristics of cluster system running in normal activity are built using Time Series Analysis methods. Second, the fault detection process is implemented by comparing the current running state of cluster system with normal running model. The fault alarm decision is made immediately when the current running state deviates the normal running model. The experiment results show that this mechanism can detect the fault in cluster system in good time.

• Type: Conference
• Year: 2006
• Where: IPPS
• Authors: Linping Wu, Dan Meng, Wen Gao, Jianfeng Zhan
• Keywords: Distributed And Parallel Computing, Fault Detection, Fault Detection Mechanism, IPPS 2006, Normal Running Model