Management Server Feature Availability Determination
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Solution Overview
Problem
Management servers face challenges when interacting with back-end computer systems that do not support certain features, leading to operational issues and incomplete data provision to client devices.
Innovation Solution
A method where the management server dynamically determines feature availability by sending requests to computer systems, using actual feature data when available and demonstration data when features are unavailable, allowing seamless interaction and data provision to client devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the management server requests feature data from back-end computer systems, then the client device can obtain comprehensive system information, but the operation fails when the back-end system does not support certain features
Solution Approach 1:
The patent introduces an intermediary mechanism (feature availability determination and demonstration data) between the management server and back-end computer systems. When a back-end system does not support a requested feature, the system retrieves demonstration data as an intermediary solution to fulfill the client's information request, thereby maintaining operation reliability while accommodating feature incompatibility.
Solution Approach 2:
The patent implements preliminary action by determining feature availability before attempting to retrieve feature data. The system proactively checks whether the back-end computer system supports the requested feature, and if not, preemptively retrieves demonstration data to prevent operational failure, ensuring smooth client interactions.
2Loss of information
If the management server uses demonstration data for unsupported features, then the client device receives complete information, but the data may not reflect actual system state
Solution Approach 1:
The patent applies local quality by differentiating data sources based on feature availability. For supported features, the system retrieves actual system data ensuring accuracy. For unsupported features, it substitutes demonstration data to maintain information completeness. This localized approach to data sourcing ensures each data point is obtained from the most appropriate source.
Solution Approach 2:
The patent uses demonstration data as an intermediary to bridge the gap between unsupported features and client information needs. The system clearly distinguishes between actual system data and demonstration data, using the latter as a compensatory intermediary to prevent information loss while maintaining data accuracy integrity.
3Adaptability or versatility
If the management server dynamically determines feature availability, then it can adapt to different back-end systems, but the complexity of data retrieval increases
Solution Approach 1:
The patent implements dynamics by making the data retrieval process adaptive rather than static. The management server dynamically determines feature availability for each back-end computer system and adjusts its data retrieval strategy accordingly. This dynamic approach enables the system to accommodate varying feature sets across different back-end systems without requiring complex manual configuration.
Solution Approach 2:
The patent employs feedback mechanisms where the management server receives responses from back-end computer systems about feature availability and uses this feedback to guide subsequent data retrieval actions. Based on the feedback regarding whether a feature is supported, the system automatically adjusts its behavior to retrieve either actual feature data or demonstration data, simplifying the overall process through intelligent feedback-driven decision-making.
Data Source
AI summary
Described are methods, systems, and apparatus, including computer program product for selectively utilizing demonstration data based on dynamically determining feature availability on computer systems. A first request is received from a client device for computer system feature data related to a computer system feature. A second request is sent to a computer system to invoke by the computer system the computer system feature. Response computer system feature data including feature status information is received. The computer system feature data is formed based on the response computer system feature data, if the feature status information indicates that the computer system feature is available on the computer system. The computer system feature data is formed based on demonstration data, if the feature status information indicates that the computer system feature is not available on the computer system. The computer system feature data is sent to the client device.


