System Configuration Migration via Kernel and Driver Adaptation
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Solution Overview
Problem
The challenge lies in adapting a system configuration from one server hosting environment to another, particularly when the user already has a setup on another computer and wants to host it in a different server hosting environment, without the need for manual reconfiguration of custom settings.
Innovation Solution
An adaptation engine automatically replaces the original kernel of the system configuration with a new kernel and imports device drivers corresponding to the hardware of the destination platform, utilizing an extraction engine to analyze and modify the system configuration based on attributes and information stored in a library, allowing seamless operation on the new environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a system configuration is manually reconfigured when moving to a different hosting environment, then compatibility with the new environment is improved, but time consumption and operational complexity increase
Solution Approach 1:
The patent extracts system configuration information from the source environment beforehand and stores it in a library. When migrating to a new hosting environment, the adaptation engine retrieves pre-stored configuration data and automatically adapts it, eliminating the need for manual reconfiguration and significantly reducing time consumption.
Solution Approach 2:
The adaptation engine automatically performs the configuration adaptation process without requiring manual intervention. It retrieves stored configuration information, analyzes the target environment, and generates adapted configuration files autonomously, making the system self-sufficient in handling migrations.
2Productivity
If system configuration information is stored in a library for reuse, then adaptation speed is improved, but information storage requirements increase
Solution Approach 1:
The patent creates copies of system configuration information from the source environment and stores them in a library. These copied configuration files can be rapidly retrieved and adapted for multiple migrations, improving productivity while the storage requirement is offset by the reusability of the copied data across multiple deployments.
3Ease of operation
If automated adaptation is implemented, then operational ease is improved, but system complexity increases
Solution Approach 1:
The patent introduces an adaptation engine as an intermediary component that sits between the source system configuration and the target hosting environment. This intermediary automatically handles the complex adaptation tasks by retrieving stored configuration information, analyzing compatibility requirements, and generating adapted configurations, thereby improving ease of operation while concentrating complexity in a dedicated module.
4Adaptability or versatility
If kernel replacement is performed during adaptation, then compatibility with destination platform is improved, but risk of system failure increases
Solution Approach 1:
The patent creates a copy of the original kernel configuration and stores it in the library before adaptation. During the adaptation process, the system can replace the kernel with a destination-platform-compatible version while preserving the original as a backup, allowing for safe experimentation and rollback if needed, thus maintaining reliability while improving compatibility.
Data Source
AI summary
Some embodiments provide a method for extracting and adapting system configuration. The method extracts a first configuration from a first node of a first hosting system. The first node includes several resources for hosting the first configuration. The method analyzes the first configuration in order to determine attributes of the first configuration. The determined attributes are relevant to hosting the first configuration on a second node of a second hosting system having several nodes. The method generates a second configuration based on the determined attributes. The method hosts the second configuration at the second node of the second hosting system.