TY - GEN
T1 - Failure prediction in IBM BlueGene/L event logs
AU - Zhang, Yanyong
AU - Sivasubramaniam, Anand
PY - 2008
Y1 - 2008
N2 - In this paper, we present our effort in developing a failure prediction model based on event logs collected from IBM BlueGene/L. We first show how the event records can be converted into a data set that is appropriate for running classification techniques. Then we apply classifiers on the data, including RIPPER (a rule-based classifier), Support Vector Machines (SVMs), a traditional Nearest Neighbor method, and a customized Nearest Neighbor method. We show that the customized nearest neighbor approach can outperform RIPPER and SVMs in terms of both coverage and precision. The results suggest that the customized nearest neighbor approach can be used to alleviate the impact of failures.
AB - In this paper, we present our effort in developing a failure prediction model based on event logs collected from IBM BlueGene/L. We first show how the event records can be converted into a data set that is appropriate for running classification techniques. Then we apply classifiers on the data, including RIPPER (a rule-based classifier), Support Vector Machines (SVMs), a traditional Nearest Neighbor method, and a customized Nearest Neighbor method. We show that the customized nearest neighbor approach can outperform RIPPER and SVMs in terms of both coverage and precision. The results suggest that the customized nearest neighbor approach can be used to alleviate the impact of failures.
UR - http://www.scopus.com/inward/record.url?scp=51049107280&partnerID=8YFLogxK
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U2 - 10.1109/IPDPS.2008.4536397
DO - 10.1109/IPDPS.2008.4536397
M3 - Conference contribution
AN - SCOPUS:51049107280
SN - 9781424416943
T3 - IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
BT - IPDPS Miami 2008 - Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium, Program and CD-ROM
T2 - IPDPS 2008 - 22nd IEEE International Parallel and Distributed Processing Symposium
Y2 - 14 April 2008 through 18 April 2008
ER -