Power Management Framework for Mobile Devices
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Solution Overview
Problem
Existing power management techniques for digital devices are inefficient as they primarily focus on processor activity, neglecting the load on peripheral components and memory buses, leading to suboptimal power consumption optimization.
Innovation Solution
A power management framework that estimates future loads on processors, peripheral components, and memory buses, using DMA data transfer measurements and prediction algorithms to issue commands for dynamic voltage and frequency scaling, ensuring resource allocation for applications while allowing coexistence of power-aware and legacy applications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power management techniques focus only on processor activity, then processor power consumption is reduced, but overall device power consumption optimization is suboptimal
Solution Approach 1:
The power management framework segments the digital device into multiple components (processor, peripheral components, memory) and independently monitors and manages the power consumption of each segment. This is achieved through separate load determination steps for each component type, allowing targeted power management decisions for each segment rather than treating the device as a monolithic unit.
Solution Approach 2:
The power management framework serves multiple functions simultaneously: it monitors processor activity, peripheral component load, and memory bus activity; it determines future load requirements; and it generates appropriate power management commands for different device states. This multi-functional approach enables comprehensive power optimization across the entire device ecosystem.
2Reliability
If the framework adjusts power settings based on current load only, then immediate power needs are met, but future power requirements may not be optimized
Solution Approach 1:
The framework performs preliminary actions by determining the future load requirement before making power management decisions. The method includes a specific step to determine the future load requirement of the digital device, which allows the system to proactively adjust power settings in anticipation of upcoming power needs rather than reactively responding to current conditions alone.
Solution Approach 2:
The framework implements feedback mechanisms by continuously monitoring current load conditions and using this information to inform future power management decisions. The system compares current operational state with future load requirements and adjusts power settings accordingly, creating a closed-loop control system that optimizes power consumption while ensuring adequate power supply.
3Loss of energy
If the framework implements strict power management control, then power consumption is minimized, but application performance and resource allocation may be compromised
Solution Approach 1:
The framework implements dynamic power management by continuously adapting power settings based on real-time monitoring of processor activity, peripheral component load, and memory bus activity. The system adjusts power management commands dynamically according to the determined future load requirement, allowing flexible optimization that maintains application performance while minimizing power consumption.
Solution Approach 2:
The framework changes operational parameters (power management settings) based on determined load requirements. By adjusting power management parameters according to the future load requirement determination, the system optimizes the balance between power consumption and application performance, allowing parameters to be tuned to match actual device needs rather than using fixed conservative settings.
4Use of energy by moving object
If the framework monitors all device components, then comprehensive power optimization is achieved, but system complexity increases
Solution Approach 1:
The framework merges multiple monitoring and control functions into a unified power management system. By combining processor monitoring, peripheral component monitoring, and memory bus monitoring into a single integrated framework that determines future load requirements, the system achieves comprehensive power optimization without the complexity of multiple separate control systems.
Data Source
AI summary
In a digital device, activity of (or load on) one or more processors, peripherals and memory buses are measured. A power management framework operated in the digital device bases power settings in the digital device on the measured loads, and accordingly issues power management commands to change power consumption states of one or more of the processors, peripherals and memory buses. Some user applications (termed power aware applications) in the digital device provide a number identifying their application type to the power management framework, which thereby determines the resources required by the application. The power management commands issued by the power management framework ensure provision of the corresponding resources to the application, while also targeting minimization of power consumption in the digital device. In an embodiment, the digital device corresponds to a mobile phone.