Software-Based Power and Temperature Estimation for Blade Servers
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Solution Overview
Problem
The increasing use of blade servers poses challenges in efficiently powering and cooling them, leading to high operational and recurring costs, and conventional hardware-based energy monitoring is costly and difficult to integrate with legacy systems.
Innovation Solution
A method for estimating the condition of electronic devices using software-based models that correlate utilization metrics with power consumption and temperature, allowing for cost-effective monitoring without additional hardware, suitable for legacy systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional hardware-based energy monitoring is used to monitor power consumption levels, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces hardware-based energy monitoring with a software-based estimation system. The system uses existing performance counters and utilization metrics from the electronic device's processor to estimate power consumption and temperature, eliminating the need for additional physical monitoring hardware while maintaining useful measurement capabilities
Solution Approach 2:
The patent creates a virtual model that copies the behavior and characteristics of physical monitoring hardware through software. By formulating models that correlate utilization metrics with power consumption and temperature, the system replicates the functionality of physical sensors without requiring physical presence, thereby reducing device complexity
2Measurement precision
If conventional hardware-based energy monitoring is used to monitor power consumption levels, then measurement precision is improved, but ease of operation deteriorates due to difficult integration with legacy systems
Solution Approach 1:
The patent creates a universal software-based monitoring solution that can operate across different system architectures and legacy platforms. By utilizing standard performance counters and utilization metrics that exist in most electronic devices, the system achieves broad compatibility without requiring hardware modifications or system-specific adaptations
Solution Approach 2:
By replacing physical monitoring hardware with software-based estimation, the patent eliminates integration challenges associated with hardware installation and compatibility. The software approach can be deployed on legacy systems without requiring physical modifications, thereby improving ease of operation while maintaining measurement capabilities
3Productivity
If blade servers are densely packed to increase productivity, then productivity is improved, but temperature and power consumption increase
Solution Approach 1:
The patent implements predictive modeling that estimates future temperature and power consumption levels based on current utilization metrics. By forecasting thermal and power conditions before they become critical, the system enables proactive thermal management and power optimization, allowing denser packing while preventing overheating and excessive power consumption
4Productivity
If blade servers are densely packed to increase productivity, then productivity is improved, but use of energy increases
Solution Approach 1:
The patent uses predictive models to estimate power consumption based on utilization metrics before actual high-power operations occur. This allows the system to pre-optimize power management settings, schedule workloads during optimal times, and implement energy-saving measures proactively, thereby reducing overall energy consumption while maintaining high productivity
Solution Approach 2:
The patent implements a feedback mechanism where estimated power consumption and temperature data are continuously monitored and used to adjust system operations. By feeding back utilization metric correlations to control power and thermal management, the system optimizes energy usage in real-time, enabling dense packing without proportional increases in power consumption
Data Source
AI summary
In a method for estimating a condition of an electronic device, a model correlating at least one utilization metric of a component of the electronic device and the condition of the component to be estimated is formulated. In addition, the at least one utilization metric of the component is detected and the condition of the component and the electronic device are estimated based upon the formulated model with the detected at least one utilization metric as an input to the formulated model.