Intermediary Server Resource Matching via Interactive Dialog
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Solution Overview
Problem
Current computer systems lack an efficient method to determine the optimal software or hardware upgrades needed for improved operation, as users often receive unsuitable updates due to a lack of knowledge about their specific configuration and usage needs.
Innovation Solution
An interactive dialogue between a client computer and an intermediary server determines the desired resource abilities by interpreting user preferences and historical usage data, allowing the server to provide optimized resources beyond initial requests, such as software or hardware upgrades, directly to the client computer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually select software updates based on provider recommendations, then users have control over installation decisions, but users lack knowledge about their specific configuration needs and may receive suboptimal upgrades
Solution Approach 1:
The patent introduces an intermediary server that acts as a mediator between the resource provider and the client computer. This intermediary analyzes the client's specific configuration, performance metrics, and usage patterns to determine the optimal resource match, thereby improving matching accuracy without increasing client-side complexity.
Solution Approach 2:
The system enables the client computer to automatically provide information about its configuration and performance needs through self-diagnosis and self-description mechanisms. This allows the system to accurately assess resource requirements without manual user input, improving matching precision while maintaining ease of operation.
2Adaptability or versatility
If the system provides multiple updated versions of applications from various sources, then users have more choices, but users are unable to determine which updates best meet their specific needs
Solution Approach 1:
The system implements feedback mechanisms where the intermediary server continuously monitors the client's performance metrics and usage patterns after resource installation. This feedback loop allows the system to learn from actual usage and improve future resource recommendations, enabling versatile selection while maintaining ease of operation through automated decision-making.
Solution Approach 2:
The patent replaces the manual mechanical process of user evaluation and selection with an automated electronic system. The intermediary server uses algorithms to evaluate multiple resource options against the client's specific needs, automatically selecting the optimal update without requiring user analysis or decision-making effort.
3Ease of operation
If the system automatically downloads and installs updates, then the process is simplified for users, but the computer system may not receive the optimal resource for its specific configuration
Solution Approach 1:
The system performs preliminary analysis of the client's configuration, performance metrics, and usage patterns before selecting and installing resources. The intermediary server pre-evaluates multiple potential updates and determines the optimal choice in advance, ensuring reliable resource optimization while maintaining automated ease of installation.
Solution Approach 2:
The intermediary server acts as a smart mediator that automatically selects the optimal resource based on detailed analysis of client needs, then handles the entire installation process autonomously. This maintains both ease of operation (automatic installation) and reliability (optimized resource selection) by separating the selection intelligence from the installation execution.
Data Source
AI summary
An intermediary server receives a resource request from a client computer for a requested resource that has a desired resource ability to optimize the client computer. The intermediary server identifies an alternative resource that has the desired resource ability to optimize the client computer, and determines that an ability of the alternative resource to provide the desired resource ability exceeds an ability of the requested resource to provide the desired resource ability. In response to determining that the ability of the alternative resource to provide the desired resource ability exceeds the ability of the requested resource to provide the desired resource ability, the intermediary server instructs a resource server to send the alternative resource instead of the requested resource to the client computer.