Network Alert Visual Mapping for Relationship-Based Troubleshooting
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Solution Overview
Problem
Managing large volumes of network alerts in complex managed networks is challenging due to difficulties in parsing, assessing relationships, and efficiently responding to alerts, leading to inefficient troubleshooting and prolonged service outages.
Innovation Solution
Generating a visual map for network alerts that represents relationships and shared attributes between alerts, allowing for improved understanding of interdependencies and causalities, and facilitating more efficient troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large volume of alerts are generated in a managed network, then comprehensive monitoring coverage is achieved, but parsing and analyzing these alerts efficiently becomes difficult
Solution Approach 1:
The patent segments the large volume of alerts by identifying shared attributes and grouping related alerts together. The visual map divides alerts into clusters based on common characteristics such as affected devices, error types, or time patterns, making it easier to parse and analyze them efficiently without losing comprehensive monitoring coverage
Solution Approach 2:
The patent introduces a visual map as an intermediary between alert generation and alert analysis. This visual map serves as a mediator that automatically processes, organizes, and presents alerts in a structured format, reducing the manual parsing burden while maintaining complete alert monitoring
2Reliability
If the managed network is large and complex with thousands of devices, then comprehensive network coverage is achieved, but determining relationships between alerts becomes difficult
Solution Approach 1:
The patent merges multiple alerts that share common attributes or indicate related issues into unified visual representations. By combining related alerts and their relationships into a single visual map, the system handles complex network environments more effectively without overwhelming the user with individual alert details
Solution Approach 2:
The patent adds a visual dimension to alert analysis by creating a spatial representation of alert relationships. The visual map transforms the complex multi-dimensional data of thousands of devices and their interconnections into a two-dimensional visual space where relationships can be intuitively understood through positioning, proximity, and visual connections
3Ease of manufacture
If traditional alert management methods are used, then simple implementation is maintained, but incident response time increases
Solution Approach 1:
The patent performs preliminary actions by automatically generating the visual map and organizing alerts with their relationships before the operator needs to analyze them. The system pre-processes the alert data, identifies patterns, and presents organized information ready for rapid response, eliminating the time-consuming manual analysis phase while keeping the interface simple
Data Source
AI summary
Example embodiments may include obtaining first data indicating a first service degradation in a network, and obtaining second data indicating a second service degradation in the network, identifying a field that is associated with the first data and the second data. Based on the field, determining a relationship between the first data and the second data and generating a representation of a user interface including the first data, the second data, and the relationship, wherein the user interface includes toggles that control display of a plurality of fields associated with the first data and the second data including the field.