Power Management Framework for Low-End Devices
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Solution Overview
Problem
Low-end computing devices lack user-friendly power management options, making it complex for users to optimize short and long-term power consumption while maintaining device functionality.
Innovation Solution
A management operation framework that enables users to dynamically control device power consumption through interactive power policy APIs, power policy KPIs, embedded power policy coordinators, and local/remote event and action generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If low-end computing devices use fixed power operation profiles without user input, then device complexity is reduced and ease of operation is improved, but adaptability and user control over power consumption are worsened
Solution Approach 1:
The device automatically manages power consumption by generating events when performance indicators are met, eliminating the need for user input while maintaining adaptability through automated decision-making
Solution Approach 2:
The system continuously monitors performance indicators and provides feedback through events that trigger power management actions, enabling adaptive power consumption without requiring user intervention
2Adaptability or versatility
If users are provided with detailed power management controls for low-end devices, then adaptability and power optimization capability are improved, but device complexity and ease of operation are worsened
Solution Approach 1:
Power policy KPIs serve as intermediaries between the user and the complex power management system, providing simplified performance indicators that users can understand without exposing them to underlying system complexity
Solution Approach 2:
The power management system is segmented into discrete components: performance indicators, power policy KPIs, events, and actions. This segmentation allows complex power management to be broken down into manageable, understandable parts for users
3Use of energy by moving object
If power consumption is optimized by reducing power usage, then energy efficiency is improved, but device functionality and performance are worsened
Solution Approach 1:
The system dynamically adjusts power consumption based on real-time performance indicators and user-defined policies, allowing optimal power usage that adapts to changing functionality requirements rather than static power saving modes
Solution Approach 2:
Power consumption parameters are changed based on performance indicator thresholds and power policy KPIs, enabling the system to adjust power usage dynamically while maintaining required device functionality
Data Source
AI summary
A processor in a device is configured to access a power policy for the device, where the power policy indicates a relationship between power consumption by the device and another performance variable of the device. The processor is also configured to produce an operating point for the device based at least in part on the power policy. The processor is also configured to provide information regarding the operating point to a management entity that manages the device.