Network Fault Root Cause Analysis via Knowledge Graph Segmentation

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Solution Overview

Problem

Current fault tree methods are inaccurate in locating fault root causes in networks due to their focus on single-device fault propagation, failing to consider inter-device fault propagation in actual networks.

Innovation Solution

A fault root cause determining method and apparatus that utilizes a knowledge graph to identify fault features across the entire network, incorporating fault propagation relationships and inference models trained on known fault scenarios to accurately determine fault causes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If a fault tree method based on single-device fault propagation is used, then the fault analysis process is simple, but the accuracy of fault root cause location deteriorates due to inability to consider inter-device fault propagation

Engineering Contradiction:
Improvefault analysis process simplicityVSAvoidfault root cause location accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent segments the network into multiple devices and constructs fault trees for each device separately. Each fault tree analyzes fault propagation within that specific device, and then the results are integrated across devices. This segmentation allows the system to maintain simplicity in individual device analysis while achieving comprehensive network-wide fault root cause location accuracy by considering inter-device fault propagation through the integration of multiple segmented fault trees.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If a knowledge graph covering the entire network is constructed, then the fault root cause location accuracy is improved by considering fault propagation between devices, but the system complexity increases

Engineering Contradiction:
Improvefault root cause location accuracyVSAvoidknowledge graph construction complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

Instead of constructing one large complex knowledge graph for the entire network, the patent segments the network into multiple devices and constructs individual fault trees for each device. This segmentation reduces the complexity of knowledge graph construction by breaking down the large-scale network into manageable device-level units, while still achieving comprehensive fault root cause location accuracy through the integration of results from all device-level fault trees.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent transitions from a device-level fault analysis dimension to a network-wide dimension by integrating fault trees from multiple devices. This dimensional change allows the system to achieve comprehensive fault root cause location accuracy across the entire network while managing complexity through the structured integration of device-level analyses, effectively adding a network dimension without overwhelming system complexity.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Measurement precision

If fault propagation between different devices is considered, then the fault root cause location accuracy is improved, but the computational complexity and data processing requirements increase

Engineering Contradiction:
Improvefault root cause location accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent segments the computational task into device-level fault tree constructions and integrations. By first constructing fault trees for individual devices separately and then integrating the results, the system reduces computational complexity at each step compared to constructing one massive network-wide fault tree. This segmented approach allows fault propagation between devices to be considered accurately while managing computational resources efficiently through divide-and-conquer methodology.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS11362884B2Fault root cause determining method and apparatus, and computer storage medium
Publication Date: 2022.06.14 HUAWEI TECH CO LTD
  • US11362884B2 patent drawing
  • US11362884B2 patent drawing
  • US11362884B2 patent drawing

AI summary

In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.