Automatic prediction method, device, apparatus and medium for application service failure

Abstract

The embodiment of the invention discloses an automatic prediction method, a device, an apparatus and a computer-readable storage medium for application service failure. The method comprises the following steps: utilizing a pre-established fault learning model to analyze whether the state parameter data values of the hardware in the working process of the application service to be predicted are within the normal working range; if not, the data being recorded and counted as abnormal conditions; and if not, the state parameter data of the hardware in the working process of the application serviceto be predicted being counted; when the total abnormal condition value exceeds the number of times threshold, a fault prediction report for predicting the fault occurrence time being generated according to the recorded data, the abnormal condition value and the corresponding normal operating range. The fault learning model is to learn the running data of each application service in the normal working state, and get the normal working range of each state parameter of each application service in the running process. The application realizes the accurate prediction of the application service system failure, which is favorable for improving the system reliability and improving the reliability of the application software.

Description

Technical field [0001] The embodiments of the present invention relate to the technical field of server failure detection, and in particular, to an automatic prediction method, device, equipment, and computer-readable storage medium for application service failure. Background technique [0002] With the rapid development of Internet technology, all walks of life are inseparable from the Internet. Servers, as network nodes, store and process more than 80% of the data and information on the network, which are in great demand in all walks of life. [0003] Server, as a computer device that provides services to users on the Internet as a management resource, can include processors, hard disks, memory, system buses, etc., and is similar to a general computer architecture. However, due to the need to provide highly reliable services, it has High requirements in terms of performance, reliability, security, scalability, and manageability. It can be seen that a lot of debugging needs to be...

AI Technical Summary

Problems solved by technology

[0006] In order to improve system reliability, it is very necessary to accurately predict the occurrence of system failures and solve them in time. The existing technology generally adopts high availability of software applications, but high availability of software applications will greatly increase the cost of the system

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