3D Cluster Visualization for Multi-Layer Network Topology
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Solution Overview
Problem
Existing two-dimensional visualization methods struggle to clearly express the complex structure and relationships within multi-box clusters, especially when multiple network layers are involved, and fail to adequately represent the characteristics of physical and logical boxes, including virtual machines and containers.
Innovation Solution
A cluster visualization apparatus that uses a three-dimensional model with multiple layers corresponding to network layers, displaying each box as a three-dimensional image that passes through its associated layer, with the size and resource usage of boxes represented by the cross-sectional area or diameter, and including information on usage, network connections, and security levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a two-dimensional visualization method is used to express cluster structure, then the device complexity is reduced, but the clarity of expressing multi-box cluster relationships deteriorates
Solution Approach 1:
The patent transitions from two-dimensional visualization to three-dimensional visualization to express cluster structure. The three-dimensional model allows boxes to be positioned in 3D space with coordinates (x, y, z), enabling clear representation of complex relationships between multiple boxes, networks, and resources that cannot be effectively shown in 2D. This dimensional change resolves the contradiction by maintaining low device complexity while significantly improving the clarity and completeness of cluster structure information.
2Ease of operation
If a hierarchical visualization method based on network layers is used, then the organization of network information is improved, but the accuracy of expressing boxes associated with multiple network layers deteriorates
Solution Approach 1:
The patent introduces a third dimension (vertical axis) to represent network layer associations. Boxes can be positioned at different heights corresponding to different network layers, and a single box can span multiple layers vertically, accurately representing boxes associated with multiple network layers. This resolves the contradiction by maintaining good network information organization while accurately expressing multi-layer associations that hierarchical 2D methods cannot capture.
Solution Approach 2:
The patent implements a nested structure where boxes contain or overlap with network layer representations. A box can encompass multiple network layers or be positioned within specific layers, allowing accurate representation of complex box-network layer relationships. This nesting approach maintains organizational clarity while precisely expressing associations between boxes and multiple network layers.
3Ease of manufacture
If traditional visualization methods are used, then the ease of implementation is maintained, but the ability to represent logical boxes (VMs and containers) deteriorates
Solution Approach 1:
The patent creates a universal three-dimensional visualization framework that can represent multiple types of boxes (physical boxes, virtual machines, containers) using the same spatial model. Each box type is represented as a 3D object with position, size, and layer associations, allowing the system to handle diverse logical box representations uniformly. This resolves the contradiction by maintaining ease of implementation through a unified model while achieving high adaptability to represent different logical box types.
Data Source
AI summary
A cluster visualization apparatus is disclosed. A cluster visualization apparatus according to the present disclosure includes a state detector configured to obtain state information of a cluster configured with a plurality of boxes, a display, and a controller configured to display a three-dimensional model image configured with a plurality of layers corresponding to a plurality of network layers and to display an image corresponding to each of the plurality of boxes over at least one layer of the plurality of layers, based on the state information.