Predicting failures of computer systems: a case study for a telecommunication system
Salfner, F.; Schieschke, M.; Malek, M.
Parallel and Distributed Processing Symposium, 2006. IPDPS 2006. 20th International
Volume , Issue , 25-29 April 2006 Page(s): 8 pp. -
Digital Object Identifier   10.1109/IPDPS.2006.1639672
Summary: 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.

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