Automated OS Build Controller for Customization Management
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Solution Overview
Problem
Human administration of customized operating systems (OS) leads to issues and errors due to the complexity of managing customizations across multiple devices and systems, including dependency and compatibility challenges, which increases initialization time and decreases performance.
Innovation Solution
An automated system with dynamic user interfaces and a controller that generates, manages, and updates custom OS builds by selecting compatible components, filtering for compatibility and access permissions, and creating virtual repositories to streamline customization without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual configuration and customization of OS components is performed, then OS can be adapted to specific user environments and hardware, but time to initialize user environment increases and errors may occur
Solution Approach 1:
The system performs preliminary actions by pre-configuring OS images with multiple component variations and dependencies before deployment. The automated OS image generator creates pre-built images with different component configurations, so that during deployment the system can quickly select and apply the appropriate pre-configured image without performing manual configuration steps at initialization time.
Solution Approach 2:
The system implements self-service through automated component selection and configuration. The OS image generator automatically analyzes hardware specifications, software requirements, and dependency relationships to select appropriate components and configure them without human intervention. The system also automatically detects and resolves configuration conflicts, enabling self-service customization that reduces both time and error rates.
2Adaptability or versatility
If manual configuration and customization of OS components is performed, then OS can be adapted to specific user environments, but errors may occur due to complexity of managing customizations
Solution Approach 1:
The system implements feedback mechanisms through automated validation and conflict detection. The OS image generator continuously monitors component compatibility, dependency satisfaction, and configuration consistency throughout the image building process. When conflicts or errors are detected, the system provides feedback by identifying the specific issues and automatically adjusting the configuration or alerting operators, thereby preventing erroneous configurations from being deployed.
Solution Approach 2:
The system introduces an intermediary layer between manual user inputs and the actual OS configuration. The automated OS image generator acts as a mediator that receives high-level customization requirements from users, automatically translates them into detailed configuration parameters, validates the configurations against known compatibility rules, and generates the final OS image. This intermediary layer eliminates direct manual configuration errors while preserving user intent.
3Productivity
If extensive customizations are made to OS for different users, then OS performance can be optimized, but device complexity increases making management difficult
Solution Approach 1:
The system segments the OS customization process into distinct, manageable components. Each OS image is divided into modular components (kernel, drivers, applications, configurations) that can be independently selected, configured, and managed. The component database organizes thousands of components into categorized groups with defined dependencies, allowing the system to assemble customized images by selecting only the necessary segments rather than managing entire customized OS distributions.
Solution Approach 2:
The system implements universality through a single automated OS image generator that can create multiple different OS images from a common component database. The same tooling and infrastructure are used to generate OS images for different users, devices, and workloads by simply changing the input parameters and component selections. This universal approach eliminates the need for separate manual customization processes for each user while maintaining the ability to optimize performance for specific scenarios.
4Adaptability or versatility
If manual OS customization is performed across multiple devices, then specific hardware optimization is achieved, but maintenance and updating become time-consuming
Solution Approach 1:
The system performs preliminary actions by pre-building OS images with hardware-specific optimizations and configurations stored in a centralized component database. When new hardware is deployed or existing hardware is updated, the system can quickly regenerate appropriate OS images by selecting components from the pre-validated database rather than performing manual optimization steps. This preliminary preparation of component libraries and optimization templates dramatically reduces maintenance time while preserving hardware-specific optimization.
Data Source
AI summary
Disclosed are systems and methods that include user interfaces (“UIs”) and a controller for automating the building, management, and distribution of operation systems (“OSes”) with different customizations for different users. A UI may include selectable elements for different OS distributions, and may present a first set of components from a selected particular OS distribution and a second set of components that are not included with the particular OS distribution. The controller may generate a custom OS build based on a first subset of components that are selected from the first set of components, and a second subset of components that are selected from the second set of component using the UI. The controller may provide a repository that is accessed with an identifier and that links to each selected component of the custom OS build, and may distribute the custom OS build from the repository to a node.