Method, device and system for auxiliary diagnosis of virtual machine failure

Abstract

The invention relates to a method, a device and a system for auxiliary diagnosis of virtual machine failure. An operation and maintenance system receives failure alarming information sent when a virtual machine fails; operation information is acquired according to virtual machine identification information carried in the failure alarming information and is used for diagnosing failure of the virtual machine; the operation information generates graphical multi-dimensional display signals of the virtual machine; and the display information is transmitted to a user side for displaying. By the method, correlation analysis is provided for diagnosis of the failure of the virtual machine, causes of the failure of the virtual machine can be diagnosed in a multi-dimensional and comprehensive way, and convenience and accuracy in virtual machine diagnosis are improved.

Description

technical field [0001] The present invention relates to the field of virtual machines, in particular to an auxiliary diagnosis method, device and system for faults of virtual machines. Background technique [0002] At present, in the field of cloud computing, virtual data maintenance systems are generally used to diagnose and operate many virtual machines. The scheduling records of virtual machines at the bottom layer have become an important means of auxiliary diagnosis of virtual machine faults in cloud systems. Virtual machines usually generate many events due to internal policies and manual intervention. In the case of fault handling, these events will be an important basis for maintenance personnel to diagnose virtual machine faults. [0003] Under the existing technology, the scheduling records of virtual machines at the bottom layer are generally only in the form of operation logs. The types of operation logs recorded in the operation logs include: modifying the monit...

AI Technical Summary

Problems solved by technology

Only through these operation logs, maintenance personnel cannot track the business interaction information of the virtual machine at the bottom layer of the cloud, which is a lack of function in the multi-dimensional maintenance method centered on the virtual machine

[0004] Under the existing technology, if maintenance personnel track according to the operation log, they will face a huge amount of information, cannot dig out the business interaction information at the bottom of the cloud, and it is not easy to see the logical relationship between multiple states and multiple events. Therefore, it is impossible to provide correlation analysis for fault diagnosis of virtual machines, and it is impossible to comprehensively judge the cause of virtual machine failures from multiple dimensions.

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