Differential Rule Evaluation for IT System Parameter Comparison
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Managing the periodic upgrades, repairs, and evaluations of computer systems in IT infrastructures becomes increasingly difficult as organizations grow, leading to inefficiencies and downtime due to the need for compatibility and updates across various devices and environments.
Innovation Solution
A method and system for evaluating differences between computer systems using differential rule definitions, which compare parameters between baseline and target systems, applying weights to indicate the importance of differences, and generating reports to facilitate upgrades and consolidations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual evaluation methods are used to compare system parameters, then flexibility in customization is improved, but labor intensity and time consumption increase
Solution Approach 1:
The patent applies preliminary action by pre-defining differential rule definitions that include parameter names, data sources, comparison methods, and weights before actual system evaluation. These rule definitions are prepared in advance and stored in a database, allowing the automated evaluation system to quickly retrieve and apply them during comparisons without requiring manual configuration each time, thus reducing evaluation time while maintaining customization flexibility.
2Measurement precision
If comprehensive parameter comparison is performed between systems, then evaluation accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by allowing different parameters to have different weights based on their importance to the specific evaluation context. The differential rule definitions include weight values for each parameter, enabling the system to focus computational resources on comparing the most critical parameters with higher weights while still performing comprehensive comparisons. This approach maintains high evaluation accuracy by prioritizing important parameters without requiring equal computational effort for all parameters.
3Reliability
If frequent system evaluations are conducted to ensure compatibility and updates, then system reliability is improved, but productivity decreases due to increased downtime
Solution Approach 1:
The patent applies self-service by implementing an automated evaluation system that independently compares system parameters, retrieves data from specified sources, applies differential rules, and generates evaluation reports without requiring manual intervention. The system can be scheduled to run automatically, enabling frequent compatibility checks and updates to be performed during off-peak hours or with minimal impact on operational systems, thus maintaining high reliability while preserving productivity.
Data Source
AI summary
A method for evaluating the differences between computer systems is provided. The systems are evaluated using one or more differential rule definitions and one or more differential rule sets. The rules evaluate the differences between specific parameters in the computer systems and are used to generate a score that indicates how different the systems are based on these parameters and preferably what the cost to remedy the difference would be. The rules can be used for consolidation analysis, compliance analysis etc. The rules each include a weight that quantifies the importance of the rule to compatibility and the score is affected accordingly. Systems can be evaluated against each other or against themselves at different instances in time.