System Information Snapshot Comparison via Algebraic Set Operations
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Solution Overview
Problem
Analysis of system information across multiple computing systems is typically manual and time-consuming, requiring line-by-line comparison and substantial effort.
Innovation Solution
The implementation of devices and methods that allow for the comparison of system information snapshots using algebraic set operations to filter and extract differences, with snapshots taken periodically or upon specific events, enabling efficient analysis and reporting of differential information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual line-by-line comparison of system information is performed, then analysis accuracy can be maintained, but time consumption and effort increase significantly
Solution Approach 1:
The patent creates standardized data models and templates that represent system information structures. These models serve as reusable copies that can be automatically instantiated and compared across multiple systems, eliminating manual line-by-line analysis while maintaining accuracy through structured data representation and automated comparison algorithms.
Solution Approach 2:
The patent transforms unstructured or semi-structured system information into standardized parameters and metrics defined by data models. By changing the representation form from raw text to structured parameters, the system enables automated comparison operations that maintain analytical precision while dramatically reducing time consumption.
2Loss of time
If automated comparison methods are implemented, then time and effort are reduced, but analysis precision may deteriorate
Solution Approach 1:
The patent replaces manual mechanical comparison processes with automated computational systems based on standardized data models. The automation uses algorithmic operations to compare system information against defined models, ensuring consistent and reproducible results that maintain precision while eliminating manual effort and time consumption.
3Loss of information
If detailed line-by-line analysis is performed, then comprehensive troubleshooting information is obtained, but device complexity and operational difficulty increase
Solution Approach 1:
The patent segments system information analysis into standardized components defined by data models. Each model represents a specific aspect of system configuration or behavior, allowing comprehensive troubleshooting information to be gathered through modular, organized comparisons rather than monolithic line-by-line analysis, thereby reducing operational complexity.
Solution Approach 2:
The patent creates universal data models that can be applied across different system types and configurations. These multi-functional models enable comprehensive information gathering through a single standardized comparison process, eliminating the need for different analysis approaches for different systems and thereby reducing operational difficulty.
Data Source
AI summary
Analysis of system information includes retrieving selected snapshots comprising the system information to be analyzed. Further, one or more operations can be performed on the system information to extract resultant information. The resultant information can be provided over a graphical user interface to a user.