Dynamic Resource Allocation for Foreground Application Performance
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Solution Overview
Problem
Existing systems do not effectively manage system resource allocation to enhance the performance of foreground applications when multiple applications are running concurrently, as they primarily rely on static priority settings and equal resource distribution, failing to dynamically adjust resources based on the foreground application's needs.
Innovation Solution
A performance-enhancing solution that monitors changes in the foreground application and adjusts system resource allocation to prioritize the target application, using techniques such as adjusting priority classes, processor affinity, and I/O priorities, while potentially reducing resources for background applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static priority settings and equal resource distribution are used, then system stability is maintained, but foreground application performance is not enhanced
Solution Approach 1:
The patent implements dynamic resource allocation by continuously monitoring foreground application changes and adjusting system resource distribution in real-time. The scheduler dynamically modifies resource allocation based on detected foreground application states, transitioning from static to dynamic resource management to enhance foreground application performance while maintaining system stability.
2Speed
If more system resources are allocated to foreground applications, then application responsiveness is improved, but power consumption increases
Solution Approach 1:
The patent applies local quality by selectively allocating enhanced system resources only to the specific foreground application that requires performance improvement, rather than uniformly increasing resources for all applications. This targeted approach improves the responsiveness of the foreground application while minimizing the overall power consumption impact by limiting resource enhancement to only where necessary.
Data Source
AI summary
A performance enhancing solution can be executed on a computing device to detect changes in the foreground application. When the foreground application changes, the performance enhancing solution can adjust the allocation of system resources to running applications to thereby enhance the performance of the foreground application.