Multi-Dimensional Graph for Network Trouble Tickets
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Solution Overview
Problem
Conventional network trouble ticket systems struggle to present disparate data sets, such as raw network alarms, impact analysis, and diagnostic output, in a unified and dynamic manner, making it difficult for users to identify correlations and view real-time changes.
Innovation Solution
A multi-dimensional graphical user interface (GUI) within a network management system that dynamically updates and weights data sets, allowing users to view all relevant information in a single view, with branches for different data sets that can be expanded, collapsed, and repositioned based on data volume and importance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If disparate data sets are displayed in separate tabs, then data organization is simplified, but user ability to identify correlations and view real-time changes deteriorates
Solution Approach 1:
The patent merges multiple disparate data sets (network alarms, impact analysis, diagnostic output) into a single unified multi-dimensional graph display. This allows all data to be viewed simultaneously in one interface rather than requiring users to switch between separate tabs, thereby preserving data correlations and enabling real-time visualization of changing information while maintaining organized structure through the graph's hierarchical framework
2Ease of manufacture
If static tabbed interface is used, then implementation is simpler, but real-time dynamic data visualization capability deteriorates
Solution Approach 1:
The patent implements a dynamic multi-dimensional graph that automatically updates in real-time as new data arrives or existing data changes. The graph structure adapts dynamically by adding, removing, or repositioning branches based on data volume and importance, providing continuous real-time visualization without requiring complex manual interface management or tab switching
Solution Approach 2:
The patent transitions from a traditional two-dimensional tabbed interface to a multi-dimensional graph structure that organizes data hierarchically across multiple dimensions. This dimensional transformation allows disparate data sets to be visualized simultaneously in a unified space, enabling real-time correlation analysis while maintaining implementation feasibility through systematic data organization
Data Source
AI summary
In one embodiment, a technique for efficient display of trouble ticket information is provided. The technique involves presenting a single view of disparate sets of data as a multi-dimensional graph. A weighting function may be applied to branches of the graph and the graph updated to reflect the results of application of the weighting function.