Feature Level Power Calibration for Network Devices
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Solution Overview
Problem
Existing network devices measure power consumption exclusively at the device level, which is not an accurate measurement of the carbon footprint, leading to inefficient sustainability practices and potential deactivation of essential features, affecting performance and reliability.
Innovation Solution
Implementing a calibration logic in network devices to receive sensor readings, identify feature permutations, predict feature-level power consumption, apply calibration factors, and determine actual power consumption, allowing for dynamic adjustment of feature activation/deactivation to meet sustainability goals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If power consumption is measured at device level, then measurement simplicity is maintained, but measurement precision deteriorates leading to inaccurate carbon footprint assessment
Solution Approach 1:
The patent segments power consumption measurement from device level to feature level by introducing calibration logic that processes sensor readings and applies calibration factors to determine power consumption for individual features. This segmentation enables accurate attribution of power consumption to specific features while maintaining a unified measurement system through the calibration logic.
2Use of energy by moving object
If corrective measures are implemented to meet sustainability goals, then environmental sustainability is improved, but network device performance deteriorates due to deactivation of essential features
Solution Approach 1:
The patent applies local quality by enabling selective power management at the feature level rather than uniformly across the entire device. The calibration logic identifies and manages power consumption for individual features, allowing sustainability measures to be applied locally to non-essential features while preserving essential features that maintain network device performance and reliability.
3Adaptability or versatility
If feature level power management is implemented, then adaptability is improved allowing selective feature deactivation, but device complexity increases due to calibration logic requirements
Solution Approach 1:
The patent applies preliminary action by pre-calibrating power consumption characteristics for different features before runtime power management is needed. The calibration logic stores calibration factors and feature permutation data that are prepared in advance, enabling rapid and accurate feature-level power management decisions without requiring complex real-time analysis during operation.
Data Source
AI summary
Devices, systems, methods, and processes for feature level power calibration are described herein. Network devices include sensors that generate sensor readings indicative of various device parameters. A calibration logic utilizes the sensor readings and feature permutations associated with the sensor readings to predict a feature level power consumption for all features of the network device. The calibration logic then applies a calibration factor to the predicted feature level power consumption and obtains an actual feature level power consumption. Using the actual feature level power consumption, the calibration logic determines an actual power consumption for feature licenses of the network device. The feature and feature license level power consumption is utilized for determining which features or feature licenses can be deactivated when the device power consumption is outside a threshold limit. Such dynamic deactivation ensures that the network device accurately meets the sustainability goals.