Computer Resource Management via Extension Point Analysis
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Solution Overview
Problem
Computer systems experience performance degradation due to numerous automatically started background programs consuming system resources without user intervention, leading to slower startup, operation, shutdown, and hibernation times, which is exacerbated by pre-installed OEM software and additional user-installed programs, posing challenges for inexperienced users who may destabilize the system when trying to optimize performance.
Innovation Solution
A method that determines installed programs, identifies automatically starting entries at extension points, compares them to system-required and used programs, and deactivates unused programs to release resources, with optional user intervention or automatic execution, utilizing a centralized database to prioritize deactivation based on community feedback and user behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If programs are automatically started via extension points to provide background functionalities, then user convenience and program functionality are improved, but system performance and processing speed deteriorate due to resource consumption
Solution Approach 1:
The system automatically monitors and manages program activation states without requiring user intervention. The evaluation module continuously assesses whether programs should be activated or deactivated based on current system conditions and usage patterns, allowing the system to self-optimize performance while maintaining necessary functionalities.
Solution Approach 2:
The system dynamically adjusts program activation states based on real-time conditions. Programs are not statically activated or deactivated but rather their state changes adaptively according to current system load, user behavior patterns, and operational context, optimizing the balance between functionality and performance.
2Adaptability or versatility
If numerous programs are installed and registered for automatic startup, then program versatility and functionality are improved, but system startup time and response time worsen
Solution Approach 1:
The system performs preliminary assessment of program activation requirements before actual startup occurs. The evaluation module pre-determines which programs should be activated based on predicted usage scenarios, allowing the system to prepare and activate only necessary programs during startup, reducing overall startup time while maintaining versatility.
Solution Approach 2:
The system changes the activation parameter of programs dynamically rather than maintaining a fixed activation state. Programs can transition between activated and deactivated states based on changing system conditions, allowing the system to optimize startup performance by keeping less critical programs deactivated while maintaining the capability to activate them when needed.
3Ease of operation
If background functionalities are kept running continuously, then program functionality and user access to features are improved, but available processing power and memory for active programs worsen
Solution Approach 1:
The system autonomously manages background program activation without requiring user decisions. The evaluation module continuously monitors system state and automatically activates or deactivates background functionalities based on current needs, freeing user-facing programs from resource consumption while maintaining necessary background operations.
Solution Approach 2:
Background program activation is made dynamic rather than static. Programs that provide background functionalities are activated only when their services are actually needed rather than running continuously, allowing the system to allocate processing power and memory dynamically between active user programs and background services based on real-time conditions.
4Productivity
If manual deactivation of background programs is allowed, then system performance can be improved, but system stability and ease of use worsen due to potential user errors
Solution Approach 1:
The system performs self-diagnosis and self-optimization regarding program activation. The evaluation module assesses which programs should be activated or deactivated based on objective criteria such as usage patterns, system load, and program interdependencies, eliminating the need for user judgment and preventing erroneous decisions that could destabilize the system.
Solution Approach 2:
The system implements continuous feedback loops where the evaluation module monitors system performance and program usage, then adjusts program activation states accordingly. This closed-loop control ensures that performance optimization decisions are based on actual system conditions and usage data, maintaining stability while improving performance through data-driven adjustments rather than user guesses.
Data Source
AI summary
In a method for improving the performance of a computer system by releasing computer resources, a list P of programs installed on a computer system is determined. All relevant extension points EP of the computer system are searched for registered entries. A list A of automatically starting programs is generated by assigning the registered entries at the relevant extension points EP to the installed programs, respectively. The list A of the automatically starting programs is compared with a list S of system-required programs and a list V of used programs. Programs that are not system-required and programs that have not been used for a longer period of time are deactivated and computer resources that have been used by the deactivated programs are released. The deactivation of programs can be done by the user or automatically and can be cancelled when necessary.