TY - GEN
T1 - Networked Windows NT system field failure data analysis
AU - Xu, Jun
AU - Kalbarczyk, Zbigniew
AU - Iyer, Ravishankar K.
N1 - Publisher Copyright:
© 1999 IEEE.
PY - 1999
Y1 - 1999
N2 - 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.
AB - 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.
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U2 - 10.1109/PRDC.1999.816227
DO - 10.1109/PRDC.1999.816227
M3 - Conference contribution
AN - SCOPUS:84958782417
T3 - Proceedings - 1999 Pacific Rim International Symposium on Dependable Computing, PRDC 1999
SP - 178
EP - 185
BT - Proceedings - 1999 Pacific Rim International Symposium on Dependable Computing, PRDC 1999
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1999 Pacific Rim International Symposium on Dependable Computing, PRDC 1999
Y2 - 16 December 1999 through 17 December 1999
ER -