Automated Parameter Assignment for System Configuration Consistency
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Solution Overview
Problem
Existing methods for determining parameters in configuration information settings for information systems, such as IP addresses and VLAN-ID assignments, are inefficient as they require manual intervention and struggle to maintain consistency across changes, especially in large systems, and rely on sequential number assignments which limit flexibility and require programming.
Innovation Solution
A parameter determination device and method that groups elements based on specific setting categories and applies rules to set unique or identical parameters within groups, using a processing unit to execute these rules and store system configuration definitions and rules, allowing for flexible parameter assignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual parameter determination is performed to ensure consistency and correctness, then reliability is improved, but productivity deteriorates due to huge amount of changing work
Solution Approach 1:
The patent defines parameter determination rules in advance that specify how parameters should be set based on system configuration. These rules are prepared beforehand to automatically determine parameters when configuration changes occur, eliminating the need for manual intervention and ensuring consistent application of determination logic across all changes.
Solution Approach 2:
The system performs self-service by automatically determining parameter values based on pre-defined rules when configuration changes are detected. The system monitors its own configuration state and autonomously adjusts parameters without external manual input, maintaining both reliability through rule-based consistency and productivity through automation.
2Manufacturing precision
If all changes are manually checked and determined to maintain consistency, then manufacturing precision is improved, but loss of time increases due to burdensome changing work
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors system configuration changes and automatically triggers parameter determination based on pre-defined rules. When a configuration change is detected, the system feeds this information back to the parameter determination process, which then automatically adjusts parameters according to the rules, ensuring accurate determination without manual time investment.
Solution Approach 2:
The patent replaces the mechanical manual process of checking and determining parameters with an automated computational system. Instead of manual inspection and decision-making, the system uses algorithmic rule evaluation to automatically determine parameter values, substituting human cognitive processes with automated logic that is both accurate and time-efficient.
3Ease of operation
If sequential number assignment is used for parameter determination, then ease of operation is improved, but adaptability deteriorates due to limited flexibility
Solution Approach 1:
The patent transforms the static sequential number assignment into a dynamic rule-based system. Instead of always assigning parameters in a fixed sequence, the system evaluates pre-defined rules that can adapt to different configuration scenarios. This allows the parameter determination process to dynamically adjust based on the specific context, maintaining simplicity through automation while gaining flexibility through rule variability.
Solution Approach 2:
The patent changes the fundamental parameter determination approach from fixed sequential assignment to rule-based parameter setting. The rules can specify various determination methods including but not limited to sequential assignment, allowing the system to flexibly choose appropriate determination strategies based on the specific configuration context, thereby improving adaptability while maintaining operational simplicity.
Data Source
AI summary
A parameter determination device according to the present invention includes: a processing unit (PU); and a storage, wherein the storage stores: a program; a system configuration definition including a plurality of elements each of which is a parameter set to a setting category that defines a configuration of a system; and a rule including identifiers of first and second ones of the setting categories; and the PU reads the program and performs functions, the function including: a grouping unit that groups the elements, based on the parameter for the second setting category of the elements; and an assignment execution unit that sets and outputs a parameter that is identical within a group or that is unique within the group, for the first setting category of each of the elements in the group.