Designator Modification for Distinguishable Hostnames and File Names
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Solution Overview
Problem
Human users often confuse similar designators, such as server hostnames or file names, leading to errors in selecting the wrong server or performing incorrect actions due to visual or phonetic similarities.
Innovation Solution
A computer-implemented method identifies designators with similarity metrics within a threshold and modifies them using external sources to create distinct, less confusing versions, enhancing visibility and reducing errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If designators are kept simple and similar, then ease of creation and consistency is improved, but user ability to distinguish between them deteriorates
Solution Approach 1:
The patent applies local quality by modifying only specific portions of designators that cause confusion while preserving the overall structure and meaning. For example, adding distinctive suffixes or prefixes to similar hostnames or file names, thereby differentiating them locally without changing their fundamental identity or requiring complete redesign of the naming system.
2Reliability
If designators are modified to be more distinct, then user ability to distinguish them is improved, but complexity of the designator system increases
Solution Approach 1:
The patent applies preliminary action by proactively identifying and modifying potentially confusing designators before users can make errors. The system analyzes designators for similarity, detects potential confusion scenarios, and automatically modifies them in advance, preventing mistakes before they occur rather than requiring users to manually differentiate them.
3Reliability
If automatic modification of designators is implemented, then reduction of user errors is improved, but system complexity increases
Solution Approach 1:
The patent applies self-service by enabling the system to automatically detect, analyze, and modify its own designators without external intervention. The system performs self-diagnosis of naming conflicts and self-correction through automatic modification, thereby reducing user errors while maintaining manageable complexity through automation rather than manual processes.
Data Source
AI summary
A computer implemented method modifies designators. A processor set identifies a plurality of designators that have a set of similarity metrics that are within a similarity threshold. The processor set modifies the plurality of designators to form a plurality of modified designators in which the set of similarity metrics for the plurality of modified designators is no longer within the similarity threshold.