Cluster sub-health early warning method and system

Abstract

The invention discloses a cluster sub-health early warning method and system. The method comprises the following steps of: obtaining historical operation data of a cluster; carrying out training and modeling according to the historical operation data of the cluster so as to generated a prediction model; obtaining real operation data of the cluster; taking the real-time data as an input and inputting the real-time data into the prediction model to carry out calculation so as to generate a prediction result; and judging whether the prediction result is located in a sub-health state or not, and generating an early warning signal to carry out warning when the prediction result is located in the sub-health state. According to the cluster sub-health early warning method and system, a data mining algorithm is applied to cluster operation log analysis through training and modeling, the prediction model is generated through carrying out training and modeling on the history data, and the real-time operation data is used as model input so as to predict the health condition of the cluster, so that the potential risks of the cluster can be predicted and the operation and maintenance personnel can be timely informed to carry out related processing before abnormality occurs, and then the heavy loss caused by cluster abnormality is reduced.

Description

technical field [0001] The present invention relates to the technical field of Internet and cloud computing, and more specifically, to a cluster sub-health early warning method and system. Background technique [0002] With the continuous development of the Internet and cloud computing technology, more and more services need to use cluster services to better meet user needs. On the one hand, service clustering enables users to get a better user experience, such as fast access, and at the same time, service clustering can provide services for more users at the same time; on the other hand, service clustering can improve system availability , to reduce the harm caused by system failure to the business. [0003] With the continuous advancement of the construction of the Agricultural Bank of China's big data platform, while the amount of data is growing explosively, the number and scale of clusters are also increasing sharply, and the subsequent software and hardware failures h...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to propose a cluster sub-health early warning method and system to solve the problem that in the prior art, the abnormality can only be found afterwards or the alarm threshold can be simply set, and the potential risk of the cluster cannot be predicted, and the operation and maintenance can be notified in time before the abnormality occurs Personnel carry out relevant processing, which in turn causes heavy losses

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