Power Management for Interactive Workloads via User Feedback
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Solution Overview
Problem
Existing power management systems in computing systems do not accurately balance power consumption and user satisfaction, often prioritizing performance over power efficiency, leading to inefficient energy use and increased costs for users.
Innovation Solution
A computing system that dynamically adjusts its power state based on user inputs regarding satisfaction with response time, allowing users to explicitly or implicitly indicate preferences for performance or power conservation, thereby modifying operating parameters such as clock frequency and voltage supply levels for processors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If the computing system operates in the power state with the lowest power demand to conserve energy, then power consumption is reduced, but response time increases and user satisfaction decreases
Solution Approach 1:
The system dynamically transitions between different power states based on real-time user feedback and workload characteristics. The power management is not static but adapts continuously, switching between low-power and high-performance states to balance energy consumption and response time requirements.
Solution Approach 2:
The system incorporates user feedback loops where user satisfaction metrics and interaction patterns are monitored to adjust power state decisions. This feedback mechanism allows the system to learn from user responses and optimize the balance between power consumption and perceived performance.
2Productivity
If the system adjusts operating parameters to prioritize performance and reduce response time, then user satisfaction improves, but power consumption increases
Solution Approach 1:
The system modifies operating parameters such as CPU frequency, voltage levels, and power state transitions based on user feedback and workload analysis. By dynamically changing these parameters, the system can optimize for either performance or power savings depending on current user needs and satisfaction levels.
3Use of energy by moving object
If users are charged based on utilization time with incentives for longer completion times, then power consumption is reduced, but user motivation to prioritize performance decreases
Solution Approach 1:
The system automatically monitors user interaction patterns, task characteristics, and satisfaction metrics to make intelligent power state decisions without requiring explicit user configuration. Users benefit from automated optimization that adapts to their behavior patterns while maintaining performance when needed.
Data Source
AI summary
A method of managing power state transitions for an interactive workload includes storing one or more parameters, each representing an electrical operating characteristic that controls power consumption of the processing unit, receiving a first user input requesting execution of a task by the processing unit, in response to receiving a second user input, modifying at least one of the one or more parameters, and executing the task in the processing unit while operating the processing unit according to the at least one modified parameter.