Hypervisor Fan Noise Control by Application-Aware Maintenance OS
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Solution Overview
Problem
Smaller computers face cooling challenges due to increased CPU wattage, leading to noise issues from fans running at full speed, as existing thermal fan control methods rely solely on temperature measurements and do not account for user activity or application type, resulting in performance loss or noise intolerance.
Innovation Solution
A method utilizing hypervisors to enable concurrent operation of capability and maintenance operating systems, which monitor user activity and application type to adjust fan speed and noise levels, ensuring quiet and efficient operation without compromising performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Temperature
If the fan runs at full speed to cool the system, then the cooling effectiveness is improved, but the noise level increases
Solution Approach 1:
The patent implements dynamic fan speed control based on real-time temperature monitoring and workload detection. The fan operates at variable speeds rather than fixed full speed, adjusting its rotation rate dynamically according to actual thermal conditions and application requirements, thereby reducing noise during low-demand periods while maintaining cooling effectiveness when needed.
Solution Approach 2:
The system changes the operational parameters of the fan by introducing intelligent control mechanisms that monitor temperature, CPU usage, and application type. Based on these parameters, the system adjusts fan speed settings to optimize the balance between cooling performance and noise generation, avoiding unnecessary full-speed operation.
2Object-generated harmful factors
If the fan speed is reduced to lower noise levels, then the noise tolerance is improved, but the cooling effectiveness deteriorates
Solution Approach 1:
The patent incorporates feedback mechanisms through temperature sensors and system monitoring software that continuously track thermal conditions and workload levels. This feedback loop enables the system to make informed decisions about fan speed adjustment, ensuring that cooling effectiveness is maintained by increasing fan speed when temperature thresholds are approached, while allowing noise reduction when thermal conditions permit.
Solution Approach 2:
The system performs preliminary assessment of workload requirements and thermal conditions before adjusting fan speed. By detecting application type and anticipated CPU intensity in advance, the system can proactively set appropriate fan speeds, preventing both unnecessary noise during light tasks and inadequate cooling during intensive workloads.
3Object-generated harmful factors
If the CPU performance is limited to reduce fan noise, then the noise level is reduced, but the system performance is lost
Solution Approach 1:
The patent extracts the performance limitation from the system by implementing selective fan control based on application type rather than uniformly limiting CPU performance. The system identifies and differentiates between critical applications requiring full performance and non-critical applications where noise reduction is acceptable, applying performance throttling only when appropriate and unnecessary for the specific workload.
Solution Approach 2:
The system applies different quality levels of performance and noise control to different applications and usage scenarios. Critical applications receive full system performance with corresponding fan speeds, while non-critical applications such as screen savers or idle states receive noise-reduced fan operation, creating localized optimization rather than global performance limitation.
4Object-generated harmful factors
If a quiet mode is implemented to limit CPU performance, then the noise tolerance is improved, but the performance for critical applications is lost
Solution Approach 1:
The patent implements dynamic mode switching between quiet operation and full performance modes based on real-time detection of application type and user needs. The system continuously monitors for indicators of critical applications and transitions between operational modes accordingly, ensuring that performance reliability is maintained when needed while enabling quiet operation during appropriate periods.
Solution Approach 2:
The system changes operational parameters by introducing intelligent mode selection that adjusts CPU performance limits and fan speeds based on application classification. Critical applications trigger parameters that maintain full performance reliability, while non-critical applications activate parameters that prioritize noise reduction, creating context-dependent optimization rather than fixed mode operation.
Data Source
AI summary
Hypervisors are a new technology in the industry that enable multiple Operating Systems to co-exist on a single client. The use of a hypervisor provides a novel approach to thermal fan control. The hypervisor is able to fire up a maintenance Operating System on demand or have it running from the powering of the computer. The maintenance Operating System continuously monitors the status of the user Operating System and determines if the system is within the desired fan noise profile by measuring noise levels using means well known in the art. If the system seems to be drifting out of the desired profile, the maintenance Operating System will determine what type of action is required and choose the most appropriate course of action. These actions can be performed by either the maintenance Operating System or the hypervisor, as appropriate.