Predicting failures of computer systems: a case study for a telecommunication system

The goal of online failure prediction is to forecast imminent failures while the system is running. This paper compares Similar Events Prediction (SEP) with two other well-known techniques for online failure prediction: a straightforward method that is based on a reliability model and Dispersion Frame Technique (DFT). SEP is based on recognition of failure-prone patterns utilizing a semi-Markov chain in combination with clustering. We applied the approaches to real data of a commercial telecommunication system. Results are presented in terms of precision, recall, F-measure and accumulated runtime-cost. The results suggest a significantly improved forecasting performance.

• Type: Conference
• Year: 2006
• Where: IPPS
• Authors: Felix Salfner, M. Schieschke, Miroslaw Malek
• Keywords: Dispersion Frame Technique, Distributed And Parallel Computing, IPPS 2006, Online Failure Prediction, Similar Events Prediction