Failure Prediction Of Virtual Host Based On The Fuzzy Data Mining

In large data centers, virtualization technology is generally used to enhance the ability ofcalculation and improve equipment utilization. The use of virtualization technology has somepotential problems, if the resource requirement and resource allocation in virtual machinedoes not match, some virtual machine overload in a long time, leading to service failure,causing service disruption or loss of data. Therefore, it is necessary to study on the predictiontechniques of virtual host failures in distributed environment.Virtual host failure prediction is using operation log of the host to obtain the associationrules between the host running property and fault by using data mining method. Faultprediction of association rules existing boundary mark problems while attribute dividing inthe rule matching. This paper presents a prediction model of host failure based on fuzzy datamining, the fuzzy association rules of fuzzy data mining made a smooth transition betweenfuzzy sets, resolve the sharp boundary problem of the interval division mode.Data fuzzing will make the edge data process weak, while fault prediction in the fuzzyassociation rules matching based on fuzzy association rules, resulting in decreased accuracyof fault prediction. In order to solve this problem, this paper proposes using iterative thresholdmethod to obtain correction coefficient of log data, based on the fuzzy prediction rules. In thehost fault real-time prediction, the model use correction coefficients to preprocess the log data,and then do the data fuzzing and match the fuzzy association rules, finally get the faultprediction results.The prediction model system of host fault based on fuzzy data mining is implemented.The experimental results show that the prediction model can predict failure before the actualservice failure appeared, the prediction accuracy rate reaches above85%. Fault predictionmodel can help the staff to adjust the virtual machine resource allocation situation effectively,formulate a fault solution strategy timely, it avoids the loss that the fault caused in a certainextent.