| 摘要 |
Embodiments of the present invention allow the prevention and/or mitigation of damage caused by server failure by predicting future failures based on historic failures. Statistical data for server parameters may be collected for a period of time immediately preceding a historic server failure. The data may be clustered to identify cluster profiles indicating strong pre-fault clustering patterns. Real time statistics collected during normal operation of the server may be applied to the cluster profiles to determine whether real time statistics show pre-fault clustering. If such a pattern is detected, measures to prevent or mitigate server failure may be initiated.
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