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Networked Windows NT System Field Failure Data Analysis
Hong Kong, China December 16-December 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/PRDC.1999.816227Sixth Pacific Rim International Sympo ...
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Jun Xu, University of Illinois at Urbana-Champaign
Zbigniew Kalbarczyk, University of Illinois at Urbana-Champaign
Ravishankar K. Iyer, University of Illinois at Urbana-Champaign
This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a production environment over a four-month period. The event logs at hand contains only system reboot information. We study individual server failures and domain behavior in order to characterize failure behavior and explore error propagation between servers. The key observations from this study are: (1) system software and hardware failures are the two major contributors to the total system downtime (22% and 10%), (2) recovery from application software failures are usually quick, (3) in many cases, more than one reboots are required to recover from a failure, (4) the average availability of an individual server is over 99%,(5) there is a strong indication of error dependency or error propagation across the network, (6) most (58%) reboots are unclassified indicating the need for better logging techniques, (7) maintenance and configuration contribute to 24% of system downtime.
Citation:
Jun Xu, Zbigniew Kalbarczyk, Ravishankar K. Iyer, "Networked Windows NT System Field Failure Data Analysis," prdc, pp.178, Sixth Pacific Rim International Symposium on Dependable Computing (PRDC'99), 1999
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