Cross-Domain Fault-Cause Location Through Dependent-Fault Association
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Solution Overview
Problem
In multi-domain wireless networks, locating fault causes is inefficient due to the large amount of fault information generated across different domains, leading to low efficiency in determining the root cause of network issues.
Innovation Solution
A method and apparatus that utilize cross-domain management devices to receive association information from domain management devices, enabling targeted location requests to identify dependent faults across network domains, thereby improving the efficiency of fault cause identification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the cross-domain management device collects fault information from all domains, then the fault information completeness is improved, but the data processing load increases
Solution Approach 1:
The patent extracts and utilizes association information that identifies dependent fault relationships between domains. Instead of processing all fault information from every domain, the system extracts only the critical association data needed to locate fault causes, thereby reducing processing load while maintaining effectiveness.
Solution Approach 2:
The system performs preliminary action by collecting and analyzing association information between domains before actual fault occurrence. This pre-established association database enables rapid fault cause location when faults occur, avoiding the need to process all raw fault data in real-time.
2Measurement precision
If the cross-domain management device processes fault information from all domains, then the fault detection accuracy is improved, but the processing time increases
Solution Approach 1:
The system extracts only the essential association information needed for accurate fault cause location, rather than processing complete fault datasets from all domains. This selective extraction maintains diagnostic accuracy while significantly reducing processing time.
Solution Approach 2:
Association information is collected and analyzed in advance, creating a pre-processed knowledge base that enables rapid and accurate fault cause location when faults occur, eliminating the need for time-consuming real-time analysis of all domain data.
3Measurement precision
If the system collects detailed fault information from each domain, then the fault analysis precision is improved, but the device complexity increases
Solution Approach 1:
The system extracts only the critical association information between domains that is necessary for fault analysis, rather than managing complete detailed fault data from all domains. This reduces system complexity while preserving the precision needed for accurate fault cause location.
4Measurement precision
If the cross-domain management device analyzes all reported fault information, then the fault cause identification accuracy is improved, but the processing efficiency decreases
Solution Approach 1:
The system extracts and utilizes only the association information necessary for identifying fault causes, filtering out redundant detailed fault data. This maintains identification accuracy while dramatically improving processing efficiency by reducing the volume of data that must be analyzed.
Data Source
AI summary
A cross-domain management device receives first association information from a first domain management device in a first network domain. The first association information is used by the cross-domain management device to determine that a dependent fault of a first fault that occurs in the first network domain occurs in a second network domain. The cross-domain management device sends first location request information to a second domain management device in the second network domain based on the first association information. The first location request information includes information used by the second domain management device to determine a dependent fault. The first location request information is used to request to the second domain management device to locate a fault cause of the dependent fault. In this way, the first association information may associate faults in different domains and locate fault cause across domains.