Construction of Collaborative Automatic Repair Processing Model Based on Problem Traceability Link

With the rapid development of information technology, the complexity of software and system has increased significantly, and the traditional troubleshooting and repair methods have been difficult to meet the needs of modern complex systems. In this paper, a collaborative automatic repair processing model based on the problem traceability link is proposed, which aims to quickly locate the source of the fault through the full link traceability technology, and combine with the collaborative automatic repair strategy to realize the efficient processing of the system fault. The model consists of four core modules: data acquisition, problem tracing, fault location and automatic repair. The experimental results show that the model has high stability and performance in fault location and automatic repair. In the simulation experiments including configuration errors, insufficient resources, network delay, service collapse and data loss, the positioning accuracy and automatic repair success rate of the model have reached a high level. For example, in the failure type of configuration error, the positioning accuracy reaches 95% and the automatic repair success rate is 90%. The collaborative automatic repair processing model based on the problem traceability link proposed in this paper not only improves the efficiency of fault investigation and repair, reduces manual intervention, but also significantly improves the stability and availability of the system. This model provides a new solution for the fault handling of modern complex systems, which has important application value and theoretical significance.

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Publication Details

Published
2024-12-29
DOI
https://doi.org/10.1109/icirdc65564.2024.00152
Primary Topic
Education, Psychology, and Social Research
Type
article
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article

Construction of Collaborative Automatic Repair Processing Model Based on Problem Traceability Link

Education, Psychology, and Social Research
article

Construction of Collaborative Automatic Repair Processing Model Based on Problem Traceability Link

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Abstract

With the rapid development of information technology, the complexity of software and system has increased significantly, and the traditional troubleshooting and repair methods have been difficult to meet the needs of modern complex systems. In this paper, a collaborative automatic repair processing model based on the problem traceability link is proposed, which aims to quickly locate the source of the fault through the full link traceability technology, and combine with the collaborative automatic repair strategy to realize the efficient processing of the system fault. The model consists of four core modules: data acquisition, problem tracing, fault location and automatic repair. The experimental results show that the model has high stability and performance in fault location and automatic repair. In the simulation experiments including configuration errors, insufficient resources, network delay, service collapse and data loss, the positioning accuracy and automatic repair success rate of the model have reached a high level. For example, in the failure type of configuration error, the positioning accuracy reaches 95% and the automatic repair success rate is 90%. The collaborative automatic repair processing model based on the problem traceability link proposed in this paper not only improves the efficiency of fault investigation and repair, reduces manual intervention, but also significantly improves the stability and availability of the system. This model provides a new solution for the fault handling of modern complex systems, which has important application value and theoretical significance.

Guangxi University of Finance and Economics (CN), Power Grid Corporation (India) (IN)
Openalex Percentile: Top 21%
Education, Psychology, and Social Research
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