Power Consumption Estimation via Saturation Analysis
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Solution Overview
Problem
Existing power management systems for data processing deployments face inaccuracies in estimating power consumption due to operation limits of hardware components, leading to potential over-provisioning or under-provisioning of power resources.
Innovation Solution
A method and system that perform saturation analysis and power consumption estimation by considering operation limits, such as communication bandwidth limits, to provide accurate power consumption estimates for data processing systems, ensuring appropriate power provisioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional power consumption estimation methods are used, then power provisioning can be simplified, but accuracy of power consumption estimates deteriorates due to ignoring operation limits of hardware components
Solution Approach 1:
The system performs saturation analysis and power consumption estimation in advance before deployment, considering operation limits of hardware components. This preliminary action provides accurate power consumption estimates that inform deployment decisions, avoiding the need for complex real-time monitoring while maintaining high accuracy.
Solution Approach 2:
The patent introduces an intermediary estimation model that bridges the gap between simple traditional methods and complex actual measurements. This model uses saturation analysis and operation limits as intermediate factors to calculate power consumption, achieving high accuracy without requiring complex monitoring infrastructure.
2Reliability
If operation limits of hardware components are not considered, then power consumption calculation is simpler, but power provisioning becomes inaccurate leading to over-provisioning or under-provisioning
Solution Approach 1:
The system performs saturation analysis and power consumption estimation in advance before deployment, considering operation limits of hardware components. This preliminary action provides accurate power consumption estimates that inform deployment decisions, avoiding the need for complex real-time monitoring while maintaining high accuracy.
Solution Approach 2:
The patent changes the parameters considered in power consumption calculation by incorporating operation limits and saturation levels of hardware components. This transforms the calculation from a simple manufacturer-rating-based approach to a more accurate model that reflects actual operational conditions without requiring complex ongoing measurements.
3Productivity
If manufacturer ascribed power consumption rates are used without considering operation limits, then deployment process is faster, but power resource allocation becomes inefficient
Solution Approach 1:
The system performs saturation analysis and power consumption estimation in advance before deployment, considering operation limits of hardware components. This preliminary action provides accurate power consumption estimates that inform deployment decisions, avoiding the need for complex real-time monitoring while maintaining high accuracy.
Solution Approach 2:
The patent applies a partial analysis approach by focusing specifically on the saturation levels and operation limits of key hardware components rather than analyzing every aspect of system operation. This selective analysis achieves sufficient accuracy for deployment decisions without requiring exhaustive measurement of all system parameters.
Data Source
AI summary
Methods and systems for managing systems based on power consumption are disclosed. To operate data processing systems, power may be supplied to the systems. Power supply capacity may be provisioned based on the estimated power consumption for the systems. To estimate the power consumption of the systems, limits on the operation of components of the systems may be taken into account. These limits may reduce the power consumption by the components from nominal power consumption ascribed by a manufacturer. The limits may be caused by the communication architecture or other features of the systems.


