Failure prediction method and device for cluster system

Abstract

An embodiment of the invention discloses a failure prediction method and device for a cluster system. The method comprises performing cluster analysis on an event sequence pattern set according to a failure event set of the cluster system to obtain event sequence clusters; performing cause and effect correlation analysis on the event sequence clusters to obtain cause and effect correlation path clusters; performing failure analysis on the cause and effect correlation path clusters to obtain failure modes of the cluster system; performing failure prediction on the cluster system according to the failure modes. According to the failure prediction method and device, clustering is performed on the event sequence mode set to obtain the cause and effect correlation path clusters to obtain the failure modes of the cluster system, and failure prediction is performed on the cluster system according to the obtained failure modes, so that deep analysis and mining can be performed on cluster system logs to obtain reliable failure rules for failure prediction, and the failure prediction recall rate is improved.

Description

technical field [0001] Embodiments of the present invention relate to computer technology, and in particular to a failure prediction method and device for a cluster system. Background technique [0002] With the widespread application of cluster systems in large-scale productive computing platforms, failures and errors of cluster systems also occur frequently, and business interruption, data leakage or even data loss caused by cluster system failures or errors often bring heavy blows to users . Therefore, the importance of the security, reliability and availability of the cluster system has become increasingly prominent. [0003] In the existing technology, the failure events in the cluster system log are usually simply counted to obtain the failure event sequence association rules (referred to as failure rules), and then the failure prediction of the cluster system is performed according to the failure rules, thereby improving the security of the cluster system performanc...

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Problems solved by technology

[0004] However, because many redundant events are recorded in the cluster system log, such as failure events that occur without warning or failure events that occur infrequently, the reliability of the failure rules obtained based on this statistics is low.

Therefore, the prediction recall rate of the failure prediction method in the prior art needs to be improved.

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