System Profiling and Controlling for Real-Time Resource Distribution
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Solution Overview
Problem
Conventional system calibration methods are inadequate for real-time interrupt distribution and system problem detection, particularly in user-end environments, leading to suboptimal system performance and trade-offs between different system functions.
Innovation Solution
A method for system profiling and controlling that employs an intelligent, event-driven mechanism to dynamically distribute system resources based on real-time data analysis, allowing for instantaneous response to system contingencies and customization according to user-end applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If interrupt distribution is performed once per second using conventional mechanisms, then system complexity is reduced and ease of operation is maintained, but response speed to system contingencies deteriorates
Solution Approach 1:
The system transitions from static periodic interrupt distribution (once per second) to dynamic event-driven distribution. The interrupt distribution mechanism adapts its behavior based on real-time system events and conditions, allowing faster response when needed while maintaining simplicity during normal operation. This is achieved through event-driven architectures that trigger interrupt distribution only when specific system conditions are met.
Solution Approach 2:
The system implements self-monitoring and self-adjustment capabilities where the interrupt distribution mechanism automatically detects system conditions and adjusts its own behavior without external intervention. This reduces the need for complex external control systems while enabling faster response to contingencies through automated event detection and reaction.
2Productivity
If system priority of wireless LAN thread is increased to improve network performance, then network throughput is improved, but streaming video smoothness deteriorates due to excessive processor resource acquisition
Solution Approach 1:
The system dynamically changes thread priority parameters based on real-time system conditions and application requirements. Instead of using fixed high priority for wireless LAN threads, the system adjusts priority levels adaptively - increasing priority when network performance is needed and decreasing it when other applications like video streaming require processor resources. This resolves the contradiction by making priority a variable parameter rather than a fixed setting.
Solution Approach 2:
The interrupt distribution mechanism dynamically adjusts thread priorities based on system events and application demands. When network traffic requires high throughput, wireless LAN threads receive higher priority; when video streaming is detected, priority is reduced to ensure smooth playback. This dynamic adjustment eliminates the need for manual trade-offs and automatically optimizes system performance for different workloads.
3Productivity
If interrupt mitigation in network interface card is increased to improve overall system performance, then processor performance is improved, but packet loss increases due to register buffer overflow
Solution Approach 1:
The system applies interrupt mitigation selectively and partially rather than uniformly. Instead of always maximizing interrupt mitigation to improve processor performance, the system applies it only when system conditions indicate excess processor capacity or when packet loss is not occurring. This partial application of interrupt mitigation maintains system performance benefits while avoiding the harmful effects of buffer overflow.
Solution Approach 2:
The interrupt distribution mechanism incorporates feedback loops that monitor packet loss conditions and system performance metrics. When packet loss is detected due to register buffer overflow, the system automatically reduces interrupt mitigation levels. When system performance is good and no packet loss occurs, interrupt mitigation can be increased. This feedback mechanism resolves the contradiction by continuously adjusting interrupt mitigation based on actual system conditions.
Data Source
AI summary
A method for system profiling and controlling and a computer system performing the same are provided. In the method, an operating system is operated after the computer system is booted, in which a profiling-controlling system is operated. When the operating system loads and executes a system profiling-controlling program, the profiling-controlling system that simultaneously operates a profiling routine and a controlling routine is initiated. The profiling routine is used to retrieve system kernel data that is generated during operation of the operating system and analyze the system kernel data through a kernel tracing tool. When it is determined that controlling is required, the profiling routine notifies the controlling routine. The controlling routine controls operating parameters of the operating system in real time according to an analysis result generated by the profiling routine.