Object Identifier Generation for Accurate Remote System Registration
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Solution Overview
Problem
The manual process of generating object identifiers for blade servers, rack devices, and computer parts and accessories is inefficient, time-consuming, prone to human errors, and delays subsequent workflows due to the need for manual data entry and lack of automation.
Innovation Solution
A method and system that automatically generates object identifiers by classifying objects into registration categories based on their types, determining registration information, and generating identifiers using the local system's object list and remote system rules, reducing reliance on manual entry and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual process is used to generate object identifiers, then flexibility in handling different object types is maintained, but efficiency and time consumption deteriorate
Solution Approach 1:
The system automatically classifies objects into registration categories and generates identifiers without requiring manual intervention. The local system self-services by determining registration information and constructing identifiers based on object types and configurations, eliminating the need for manual data entry while maintaining adaptability to different object types.
Solution Approach 2:
The system dynamically adjusts the identifier generation process based on object parameters such as type, configuration, and registration category. By changing parameters like classification rules and registration information based on object characteristics, the system maintains flexibility while automating the generation process for improved efficiency.
2Measurement precision
If manual data entry is used, then accuracy can be controlled, but time consumption and workflow delays increase
Solution Approach 1:
The patent replaces the mechanical process of manual data entry with an automated computational system. The local system automatically extracts object configuration information, classifies objects into registration categories, and generates identifiers through systematic processing, eliminating manual operations while maintaining accuracy through rule-based classification and deterministic identifier construction.
Solution Approach 2:
The system creates accurate copies of object configuration information and uses these copies to generate identifiers. By systematically copying and processing object attributes through automated classification rules, the system ensures accuracy is maintained while the time-consuming manual entry process is eliminated.
3Productivity
If automated generation is implemented, then efficiency improves, but complexity of the system increases
Solution Approach 1:
The automated system is segmented into distinct functional modules: object classification module that categorizes objects into registration categories, registration information determination module that identifies required information based on category, and identifier construction module that generates the final identifier. This segmentation manages complexity by organizing the automated process into manageable, independent components that can be implemented and maintained separately.
Solution Approach 2:
The system implements a universal classification framework that handles multiple object types (blade servers, rack devices, computer parts, accessories) through a single automated process. The registration category classification and identifier generation mechanism serves multiple functions across different object types, reducing overall system complexity compared to having separate manual processes for each object type.
4Reliability
If classification into registration categories is performed, then accuracy of remote system registration improves, but processing time increases
Solution Approach 1:
The system performs preliminary classification of objects into registration categories before actual registration with the remote system. By pre-determining the registration category based on object type and configuration, the system ensures accurate registration information is prepared in advance, improving registration reliability while the classification is performed systematically rather than manually during the registration process.
Data Source
AI summary
A method in an illustrative embodiment includes obtaining a type of a target object from an object list. The method further includes classifying the target object into a corresponding registration category based on the type of the target object. The method further includes determining registration information for registering the target object in a remote system based on the corresponding registration category. In addition, the method further includes generating an object identifier for registering the target object in the remote system based on the type of the target object, the object list, and the registration information. In this way, the efficiency of generating object identifiers and the speed of performing the workflow are improved, while the time spent on registering objects in a remote system is reduced. Also, the accuracy of the generated object identifiers and the stability of the workflow are improved, while anomalies in the workflow are reduced.