Device Configuration Profiling for Unknown Hardware Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The performance of applications on client devices varies significantly due to the vast number of device types, making manual assignment of configuration parameters impractical, and users desire consistent and improved features across different hardware capabilities.
Innovation Solution
A system and method to determine configuration parameters for unknown devices by comparing their characteristics to known devices, using device characteristic capture applications to gather data and assign parameters based on similarity, enabling consistent feature levels across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual assignment of configuration parameters is used for each device type, then device-specific performance can be optimized, but the complexity and time required increases significantly due to over 25,000 Android device types and 60 iOS device types
Solution Approach 1:
The patent creates configuration profiles from representative devices and copies these profiles to similar unknown devices. Instead of manually configuring each of the 25,000+ Android device types and 60 iOS device types, the system generates configuration profiles from a subset of devices and reuses them across multiple device types with similar characteristics, dramatically reducing the complexity of parameter assignment while maintaining device-specific optimization.
Solution Approach 2:
The system dynamically determines configuration parameters by comparing device characteristics and selecting profiles based on similarity metrics. Rather than static manual assignment, the system changes parameters automatically based on device type, hardware capabilities, and profile matching, enabling scalable configuration across thousands of device types without proportional increase in manual effort.
2Reliability
If device-specific configuration parameters are assigned to ensure optimal performance, then user experience consistency improves, but the time and resources required for parameter determination increases
Solution Approach 1:
The system performs preliminary configuration by assigning default profiles based on device type identification before full device characterization is complete. Configuration profiles are pre-generated and stored for quick retrieval, allowing the system to provide immediate device-specific configuration without requiring extensive analysis time for each new device type.
Solution Approach 2:
The patent creates universal configuration profiles that can serve multiple device types with similar characteristics. A single profile can be applied to numerous devices across different types, reducing the time required for parameter determination while maintaining consistent user experience across devices with comparable hardware and software capabilities.
3Adaptability or versatility
If configuration parameters are customized for each device type to optimize features, then functionality is improved, but the ease of operation and deployment becomes more difficult
Solution Approach 1:
The system automatically determines device type, selects appropriate configuration profiles, and applies parameters without requiring manual intervention. The automated device characterization and profile matching process enables the system to self-configure for optimal feature adaptability across diverse device types, eliminating the operational complexity that would otherwise be required for manual customization.
Solution Approach 2:
The system dynamically adjusts configuration parameters based on device characteristics through automated profile matching. This enables feature adaptability across thousands of device types while maintaining ease of deployment, as the parameter changes occur automatically through the profile assignment process rather than requiring manual configuration for each device.
Data Source
AI summary
Systems, devices, media, and methods are presented for assigning configuration parameters to unknown devices by comparing characteristics of unknown devices to characteristics of known devices. Characteristics of an unknown device are compared to characteristics of known devices to identify a similar device having known configuration parameters. The unknown device is then assigned the configuration parameters of the identified similar device.


