Hierarchical Visualization Model for Network Situational Awareness
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Solution Overview
Problem
Current human-machine visualization interfaces fail to provide comprehensive real-time or near real-time situational awareness (SA) in complex computing networks, particularly for organizational elements and their missions, leading to difficulties in decision-making due to overwhelming information and cognitive overload.
Innovation Solution
A layered visualization model is introduced, using a pyramid structure to decompose network and system infrastructure into ten layers, facilitating a hierarchical view of network inter-dependencies and mission impact, with tools like layer visualization and sunburst views to present actionable information effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive network monitoring data is collected and presented in traditional interfaces, then complete situational awareness is achieved, but cognitive overload occurs and decision-making is hindered
Solution Approach 1:
The patent segments network monitoring data into multiple hierarchical levels (network element level, organizational element level, mission level). Each level presents only the relevant information for that specific context, preventing cognitive overload while maintaining complete situational awareness when needed. The layered visualization model allows users to navigate between levels and access detailed information only when necessary.
Solution Approach 2:
The patent introduces a hierarchical dimension to traditional flat network monitoring interfaces. By organizing data across multiple layers (infrastructure layer, organizational layer, mission layer), the system adds a vertical dimension that structures information logically. This hierarchical organization reduces the horizontal spread of information at any single level, making it more manageable while preserving access to the complete picture through navigation between levels.
2Measurement precision
If detailed network infrastructure information is displayed, then comprehensive monitoring is achieved, but information overload occurs making it difficult to identify critical issues
Solution Approach 1:
The patent applies local quality by tailoring the level of information detail to the specific organizational context and mission criticality. Different organizational elements receive customized views based on their specific needs and the criticality of the missions they support. Critical network elements affecting high-priority missions receive more detailed monitoring, while less critical elements receive summarized views, optimizing the signal-to-noise ratio for each local context.
Solution Approach 2:
The patent segments the monolithic network monitoring interface into multiple focused views organized by organizational elements and missions. Each segment presents information relevant to its specific context, filtering out unrelated details. This segmentation allows detailed monitoring of critical elements while maintaining a clean, focused presentation that highlights only the most important status information for each segment.
3Reliability
If real-time network status information is provided at all levels, then complete situational awareness is achieved, but system complexity increases
Solution Approach 1:
The patent implements a nested doll structure where hierarchical levels are nested within each other (network elements nested within organizational elements, which are nested within missions). Each level contains and is contained by adjacent levels, allowing the system to maintain complete real-time data at the finest level while presenting aggregated, simplified views at higher levels. This nesting enables complete situational awareness to be achieved through systematic exploration of nested levels rather than presenting all details simultaneously.
Solution Approach 2:
The patent creates a universal hierarchical framework that serves multiple functions simultaneously: it organizes data by network infrastructure, organizational structure, and mission criticality; it enables filtering and aggregation at different levels; and it provides a consistent navigation paradigm across all views. This multi-functional framework reduces interface complexity by providing a single, unified structure that handles diverse information organization needs rather than requiring separate interfaces for each function.
Data Source
AI summary
The invention includes various embodiments of apparatus and methods for human-machine visualization interfaces and processes for providing actionable information on elements of networks, networks, and systems of networks ability to support one or more organizational elements, missions associated with the one or more organizational elements, and capabilities of the organizational elements.


