Generative Operating System Assembly for Runtime Hardware Adaptation
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Solution Overview
Problem
Traditional operating systems lack flexibility and adaptability to changing hardware and software environments, leading to inefficiencies and high maintenance costs, as they are often unable to meet specific user needs and require extensive updates.
Innovation Solution
A method for dynamically generating a generative operating system using a hardware and software environment feature, incorporating a hardware architecture adaptation layer, meta kernel layer, and external libraries, with an intelligent runtime sensor and dynamic updater for real-time optimization and micro-library updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If a traditional static pre-developed operating system is used, then stability and ease of use are improved, but flexibility and adaptability to changing hardware and software environments deteriorate
Solution Approach 1:
The patent transforms the static operating system into a dynamic one by introducing a configuration file that enables runtime adaptation. The system can dynamically load, unload, and update micro-libraries based on environmental changes and user needs, allowing the OS composition to change without full reinstallation or reboot, thus resolving the contradiction between stability and adaptability.
Solution Approach 2:
The operating system is segmented into a core system and optional micro-libraries. The configuration file selectively activates specific micro-libraries based on hardware/software environment detection, allowing the system to maintain a stable core while adapting through modular additions, thereby achieving both stability and versatility.
2Ease of operation
If a traditional static pre-developed operating system is used, then ease of use is improved, but functionality matching to specific user needs deteriorates
Solution Approach 1:
The operating system performs self-service by automatically detecting the hardware and software environment, parsing configuration files, and selecting appropriate micro-libraries without requiring manual user configuration. This maintains ease of use while achieving precise functionality matching to specific user needs and environments.
Solution Approach 2:
The system implements feedback mechanisms where the operating system monitors runtime environment changes and user interactions, then automatically adjusts micro-library loading and system configuration accordingly. This closed-loop approach ensures functionality continuously matches user needs while maintaining simple operation.
3Ease of manufacture
If a traditional static pre-developed operating system is used, then initial development cost is reduced, but updating and maintenance cost increases
Solution Approach 1:
The patent applies preliminary action by pre-compiling multiple specialized micro-libraries in advance and packaging them with the operating system. The configuration file pre-defines which micro-libraries should be loaded for different environments. This allows rapid updates and adaptations without time-consuming compilation or configuration processes, reducing maintenance time while keeping initial development costs low.
4Device complexity
If a traditional static pre-developed operating system is used, then system structure simplicity is maintained, but ability to match new hardware and software requirements deteriorates
Solution Approach 1:
The configuration file serves as an intermediary between the simple operating system core and the diverse micro-libraries. It translates hardware/software environment detection into specific micro-library selection and activation, allowing the system to match new requirements without complicating the core OS structure. The intermediary handles the complexity of adaptation while the core remains simple.
Data Source
AI summary
Embodiments of the present disclosure a method for dynamically generating a generative operating system based on a hardware and software environment feature, the method is configured to generate the generative operating system, and an architecture of the generative operating system includes: a hardware architecture adaptation layer and a meta kernel layer and an external library of the operating system. The method comprises: systematically and comprehensively perceiving an environment state and application requirements by an environment sensor and generating a configuration file; parsing the corresponding micro-libraries through the configuration files and obtaining a corresponding micro-libraries collection through a micro-library marketplace; assembling configured micro-libraries into the generative operating system by a system organizer; and dynamically adjusting and optimizing the generative operating system in real time by a run optimizer based on changes in a runtime environment and operational requirements.