Failure repository-based automated failure processing system and method

Abstract

The invention discloses a failure repository-based automated failure processing system and a method and belongs to the technical field of failure processing technology. According to the technical scheme of the invention, failures are classified and processed a failure repository. After that, the reason analysis of the failures and the matching of failure processing strategies are conducted, and then failure processing command / scripts are automatically executed according to the processing strategies. After the processing process, processing results are collected and the corresponding detection and confirmation is conducted. At the same time, the failure processing experience is accumulated in the failure repository and the above steps form a cycle. Based on the association of the automated failure processing and the failure processing strategies, the failure processing is automatically executed in combination with the failure processing strategies and the failure knowledge. Meanwhile, the accumulation of both the failure knowledge and the failure processing strategies is realized, so that the failure processing timeliness and the failure processing efficiency are greatly improved. Moreover, the waste of failure processing resources and the waste of time, caused by the condition that various managers are not familiar in other fields, can be effectively avoided. At the same time, the automated manner is adopted, so that the failure processing of a data center is more accurately conducted just in place.

Description

technical field [0001] The invention discloses an automatic fault processing system and method based on a fault knowledge base, belonging to the technical field of fault processing. Background technique [0002] With the rapid development of data centers, the scale of data centers is getting larger and larger, and the work involved in operation and maintenance and troubleshooting is becoming more and more complicated. With the expansion, the types of resources in the data center are also increasing and becoming more complex. For example, a data center that includes 200 types of resources and 10,000 resources cannot be satisfied with the traditional fault handling method, which can only deal with the problems reported by monitoring in a scattered and relatively independent manner, and each Each type of administrator handles the faults in their own fields. The faults faced by various administrators cannot be well correlated and coordinated, and the root cause of the fault can...

AI Technical Summary

Problems solved by technology

[0003] The present invention aims at the problems of insufficient timeliness and low efficiency in dealing with faults in large-scale data centers at present, and provides an automatic fault processing system and method based on a fault knowledge base, so that fault processing can be automated, thereby greatly improving the timeliness of fault processing sex and effectiveness

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