Adaptive Power Efficiency Calculation for Demand Fluctuations
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Solution Overview
Problem
Existing methods for calculating DCeP (power efficiency) fail to appropriately set the frequency of metrics measurement and calculation, leading to unstable power efficiency values, wasteful power consumption, and storage capacity issues due to excessive measurement, or missed changes in demand fluctuations due to insufficient frequency.
Innovation Solution
A power efficiency calculation device that determines optimal metrics measurement and calculation intervals based on demand fluctuations by extracting frequency components from task execution data, ensuring intervals are equal to or greater than the metrics measurement interval and less than the minimum executable interval for power efficiency control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the frequency of metrics measurement and calculation is increased, then the stability of power efficiency values improves and demand fluctuations are captured accurately, but power consumption increases and storage capacity is exceeded
Solution Approach 1:
The patent applies dynamics by making the measurement and calculation intervals adaptive rather than fixed. The control device dynamically adjusts the frequency of metrics measurement and DCeP calculation based on the observed demand fluctuations. When demand changes rapidly, the system increases measurement frequency to capture these changes accurately. When demand is stable, the system reduces measurement frequency to conserve power and storage resources. This dynamic adaptation resolves the contradiction between measurement accuracy and energy consumption.
Solution Approach 2:
The patent changes the parameters of measurement interval and calculation interval based on system conditions. By monitoring demand fluctuations and adjusting the frequency parameters accordingly, the system optimizes the balance between measurement precision and power consumption. The control device modifies these temporal parameters dynamically, increasing them when accuracy is needed and decreasing them when resource conservation is prioritized.
2Measurement precision
If the frequency of metrics measurement and calculation is increased, then demand fluctuations are captured accurately, but storage capacity is exceeded
Solution Approach 1:
The system dynamically adjusts the measurement and calculation frequency based on the actual need to capture demand fluctuations. By making these intervals adaptive, the system stores only the necessary amount of metrics data required to accurately represent demand patterns. This prevents unnecessary accumulation of data that would exceed storage capacity while maintaining sufficient resolution to detect demand changes.
Solution Approach 2:
The patent extracts and processes only the essential metrics data needed to capture demand fluctuations accurately. By selectively measuring and calculating DCeP at optimized intervals rather than continuously, the system extracts the critical information needed for demand characterization while minimizing the total volume of stored data, thus avoiding storage capacity exhaustion.
3Loss of energy
If the frequency of metrics measurement and calculation is decreased, then power consumption is reduced, but changes in demand fluctuations are missed
Solution Approach 1:
The system changes the measurement and calculation interval parameters dynamically based on system state. When demand fluctuations are detected or expected, the system increases the frequency of measurement and calculation to prevent loss of important information. When demand is stable, the system reduces frequency to conserve power. This adaptive parameter adjustment ensures information integrity while minimizing energy consumption.
Solution Approach 2:
The control device uses feedback from monitored demand patterns to adjust measurement and calculation frequencies. By continuously observing demand fluctuations and using this information to modify the measurement interval, the system ensures that critical demand changes are captured while avoiding unnecessary measurements during stable periods, thus preventing information loss while reducing power consumption.
4Device complexity
If fixed measurement and calculation intervals are used, then system complexity is reduced, but adaptability to different demand patterns is poor
Solution Approach 1:
The patent transforms the control system from static to dynamic by implementing adaptive interval adjustment. The control device automatically modifies measurement and calculation intervals based on observed demand patterns, enabling the system to adapt to various workload conditions without manual intervention. This dynamic behavior provides high adaptability while maintaining relatively simple control logic through automated rule-based adjustment.
Data Source
AI summary
A power efficiency calculation device includes: a metrics collection unit that collects metrics from a physical server group; a metrics measurement interval determination unit that extracts a change in a task execution amount in a predetermined time interval as a frequency component, and determines a metrics measurement interval; a power efficiency calculation interval determination unit that determines, as a power efficiency calculation interval, an interval that is equal to or greater than the metrics measurement interval and equal to or less than a minimum executable interval; and a power efficiency calculation unit that calculates the power efficiency in the determined power efficiency calculation interval using the metrics collected in the determined metrics measurement interval.