2009 International Conference on Availability, Reliability and Security (2009)
Fukuoka Institute of Technology, Fukuoka, Japan
Mar. 16, 2009 to Mar. 19, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ARES.2009.105
System- and application-level failures could be characterized by analyzing relevant log files. The resulting data might then be used in numerous studies on and future developments for the mission-critical and large scale computational architecture, including fields such as failure prediction, reliability modeling, performance modeling and power awareness. In this paper, system logs covering a six month period of the Blue Gene/L supercomputer were obtained and subsequently analyzed. Temporal filtering was applied to remove duplicated log messages. Optimistic and pessimistic perspectives were exerted on filtered log information to observe failure behavior within the system. Further, various time to repair factors were applied to obtain application time to interrupt, which will be exploited in further resilience modeling research.
C. Leangsuksun et al., "Blue Gene/L Log Analysis and Time to Interrupt Estimation," 2009 International Conference on Availability, Reliability and Security(ARES), Fukuoka Institute of Technology, Fukuoka, Japan, 2009, pp. 173-180.