Chronological Network Topology Maps for Root Cause Analysis
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Solution Overview
Problem
Determining the root cause of network alarms in complex networks is difficult due to the large number of alarms, lack of sufficient information, and potential false positives, making it challenging for administrators to identify and resolve issues in real time.
Innovation Solution
A visual chronological record of network conditions is generated, allowing administrators to scroll through network snapshots to identify changes that led to an alarm, using visual network topology maps to trace the causal chain of events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If administrators manually analyze alarms in complex networks, then they can identify root causes, but the process is too slow for real-time resolution
Solution Approach 1:
The system performs preliminary actions by automatically capturing network snapshots and constructing topology maps before alarms occur. When an alarm is triggered, the pre-prepared chronological record and topology evolution data are immediately available for analysis, eliminating the time-consuming manual data collection process while maintaining accurate root cause identification.
2Measurement precision
If administrators investigate all network conditions thoroughly, then they can determine the root cause, but the complexity of complex networks makes this difficult
Solution Approach 1:
The system segments the complex network investigation process into distinct components: network snapshot capture, topology map construction, chronological record generation, and alarm correlation analysis. Each component handles a specific aspect of the investigation, breaking down the overwhelming complexity into manageable segments that can be processed systematically.
Solution Approach 2:
The system introduces an intermediary automated analysis platform between the administrators and the complex network. This intermediary automatically collects data, constructs topology maps, and correlates alarms with network events, shielding administrators from the complexity while providing thorough analysis results.
3Productivity
If administrators respond to all alarms immediately, then service disruption is minimized, but false positives lead to unnecessary interventions
Solution Approach 1:
The system uses feedback by comparing alarm data with the chronological network topology record to verify whether an alarm corresponds to an actual network change. This feedback mechanism allows rapid response to valid alarms while filtering out false positives, maintaining both high response speed and reliability.
Data Source
AI summary
Embodiments are directed a system that monitors a plurality of relevant network conditions of a wireless cellular network. Over time, the system records a plurality of network snapshots based on the monitoring. Each network snapshot reflects a status of each applicable network condition at a respective point in time at which the snapshot was recorded. The system then generates a respective visual network topology map for each network snapshot through which the status of each network characteristic at the point time at which the snapshot was recorded is accessible. The system connects together each network snapshot resulting in a visual chronological historical record of the status of the network at each point time at which the snapshot was recorded reflected by each respective network topology map.