Network Fault Cause Analysis Using Event Propagation Context
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Solution Overview
Problem
Existing network fault analysis methods suffer from low accuracy due to abnormal events with the same identifier being caused by different reasons, leading to inaccurate fault cause determination.
Innovation Solution
The method involves determining fault cause description information for each abnormal event based on its identifier and associated fault codes, and analyzing the propagation relationship between events to refine the fault analysis by considering the causes of occurrence, using extraction templates and models to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If abnormal events with the same identifier are classified as the same type of abnormal events, then the classification process is simplified, but the accuracy of network fault analysis result deteriorates
Solution Approach 1:
The patent segments the fault analysis process into multiple stages: initial classification by event identifier, followed by detailed analysis using extraction templates to obtain fault cause description information, and finally determination of fault propagation direction. This segmentation allows simple initial sorting while enabling accurate differentiation in subsequent steps, resolving the contradiction between simplified classification and accurate analysis.
Solution Approach 2:
The patent introduces additional analysis dimensions beyond event identifiers by incorporating extraction templates that extract fault cause description information from event descriptions. This multi-dimensional approach (event identifier + fault cause description + propagation direction) enables accurate fault analysis while maintaining efficient initial classification.
2Device complexity
If only event identifiers are used to determine fault propagation relationship, then the analysis process is simplified, but the accuracy of fault cause determination deteriorates
Solution Approach 1:
The patent performs preliminary extraction of fault cause description information using extraction templates before determining fault propagation relationships. This preliminary action prepares detailed fault cause information in advance, enabling accurate propagation determination without overly complicating the overall process flow.
Solution Approach 2:
The patent introduces fault cause description information as an intermediary element between event identifiers and fault propagation relationships. This intermediary provides the necessary detailed context for accurate fault cause determination while maintaining a structured, manageable analysis process.
3Measurement precision
If fault cause description information is extracted and analyzed for each abnormal event, then the accuracy of network fault analysis is improved, but the complexity of the analysis process increases
Solution Approach 1:
The patent uses universal extraction templates that can extract fault cause description information from multiple types of abnormal events through a unified process. This multi-functional approach handles diverse event types with a single standardized method, improving accuracy without proportionally increasing process complexity.
Solution Approach 2:
The patent changes the analysis parameters from simple event identifiers to comprehensive fault cause description information extracted through standardized templates. This parameter transformation enables detailed accurate analysis while the standardized template approach prevents exponential complexity increase.
Data Source
AI summary
This application discloses a network fault analysis method and apparatus. The method includes: obtaining information about a first abnormal event and information about a second abnormal event; determining first fault cause description information and second fault cause description information respectively based on the information about the first abnormal event and the information about the second abnormal event, where each of the first and the second fault cause description information is used to describe a cause of occurrence of a corresponding abnormal event; and determining, based on event identifiers in the information about the first and the second abnormal events, and the first and the second fault cause description information, that the first abnormal event corresponding to the first fault cause description information is a cause event that causes occurrence of the second abnormal event corresponding to the second fault cause description information.


