Automated Best Known Configuration Engine for Driver Health
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Solution Overview
Problem
The installation of new drivers often leads to installation failures, compatibility issues, and unintended side effects, resulting in time-consuming and costly support calls, rollbacks, and manual interventions.
Innovation Solution
An automated system that includes a health monitor engine on end-user devices to generate health reports for drivers and firmware, which are then evaluated by a best known configuration engine to determine optimal configurations, allowing for the distribution of these configurations to ensure proper functioning across platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If new drivers are released and installed, then device functionality is improved, but installation failures and compatibility issues increase
Solution Approach 1:
The system proactively monitors driver health and performance before failures occur, collecting data from multiple devices to identify potential issues. By performing preliminary analysis of driver behavior across the device fleet, the system can prevent installation failures before they impact users, thus maintaining both functionality improvement and installation reliability.
Solution Approach 2:
The system continuously collects health report data from installed drivers and uses this feedback to automatically update driver configurations. This closed-loop feedback mechanism allows the system to learn from real-world performance data and adjust driver installations accordingly, resolving the contradiction between introducing new functionality and maintaining installation success rates.
2Ease of repair
If manual support intervention is used to diagnose and correct driver issues, then problem resolution is achieved, but time consumption and costs increase
Solution Approach 1:
The system enables automatic self-diagnosis and self-correction of driver issues through health monitoring and automated configuration updates. Instead of requiring manual support intervention, the system autonomously identifies problematic drivers and applies corrections, eliminating support time while maintaining effective problem resolution.
Solution Approach 2:
The health monitoring system acts as an intermediary between driver installation and support personnel, automatically collecting and analyzing driver performance data. This intermediary layer handles routine diagnostic and correction tasks, freeing support personnel from time-consuming manual interventions while maintaining comprehensive problem resolution capabilities.
3Productivity
If driver blacklist is implemented to prevent further installations, then support burden is reduced, but device functionality may be limited
Solution Approach 1:
Instead of reactively blacklisting drivers after issues occur, the system proactively identifies potential problems through health monitoring and prevents problematic installations before they happen. This preliminary action maintains support efficiency by avoiding issues while preserving device functionality through selective, informed driver management rather than broad blacklisting.
Solution Approach 2:
The system dynamically adjusts driver installation parameters based on health report data and performance metrics. Rather than using fixed blacklist rules that may limit functionality, the system changes installation parameters adaptively, allowing beneficial drivers to be installed while preventing problematic ones, thus maintaining both support efficiency and device adaptability.
Data Source
AI summary
Best known configurations can be automatically created for particular platforms. An update tool can be installed on end user devices and can include a health monitor engine that creates health reports for drivers and/or firmware installed on the corresponding end user device. The health reports generated on the end user devices can be provided to a best known configuration engine that can evaluate them to calculate a best known configuration for each platform. The best known configurations can then be distributed to the update tool on the end user devices to cause them to configure the end user devices to match the corresponding best known configuration.