Graph Transformation via Folding Query for IT Infrastructure
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Solution Overview
Problem
Conventional graph transformation applications for IT infrastructures are inefficient, complex, and difficult to maintain, often requiring intermediary processes that increase complexity and hinder user access to simple transformation capabilities, making it hard to display and understand large IT infrastructure graphs.
Innovation Solution
The method involves transforming a base graph into a folded graph using a folding query that describes edges and paths, allowing users to generate output in a user-friendly format like a tree structure, eliminating intermediary servers and reducing maintenance costs, while enabling users to easily construct data structures without learning complex rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional intermediary processes are used for graph transformation, then transformation functionality is provided, but system complexity increases and maintenance difficulty increases
Solution Approach 1:
The patent extracts the graph transformation logic from the intermediary process and places it directly in the client application. The client now performs transformations using local algorithms and data structures, eliminating the need for complex server-side intermediary processes while maintaining transformation functionality.
Solution Approach 2:
The client application serves its own transformation needs by implementing transformation algorithms locally. Instead of relying on external intermediary processes, the client independently performs graph-to-tree transformations using its own resources and logic, reducing overall system complexity.
2Ease of operation
If conventional intermediary processes are used for graph transformation, then transformation is performed, but maintenance requirements increase
Solution Approach 1:
The transformation logic is extracted from the server environment and embedded within the client application. This allows maintenance and updates to be performed independently on the client side without affecting server operations or requiring coordinated system-wide changes.
Solution Approach 2:
The system is segmented into independent components: the graph database server remains unchanged, while the client application contains its own transformation engine. This segmentation allows independent maintenance of each component without cascading effects on the entire system.
3Quantity of substance
If graph data is displayed in conventional formats, then all graph elements can be shown, but understandability decreases for non-technical users
Solution Approach 1:
Instead of requiring users to adapt to graph formats, the system inverts the approach by automatically transforming the graph data into tree formats that are more familiar and understandable to end users. This inversion makes the information accessible to non-technical users without losing completeness.
Solution Approach 2:
The system changes the structural parameter of the data representation from graph format to tree format. This parameter change transforms the organization of information while preserving the underlying data relationships, making it more comprehensible to users with varying technical backgrounds.
4Manufacturing precision
If complex rule sets are used for graph transformation, then transformation accuracy can be achieved, but user learning time increases
Solution Approach 1:
The system copies familiar tree structures that users already understand from common applications and operating systems. By presenting transformed data in these familiar patterns, users can interpret the information immediately without learning new complex rules, while the transformation logic itself maintains accuracy through structured algorithms.
Data Source
AI summary
Systems, methods, and other embodiments associated with graph transformation are described. One example method includes transforming a base graph into a folded graph as a function of a folding query.