Green Data Center Policy System for Software Test Power Optimization

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Solution Overview

Problem

Current data center operations reserve a significant portion of hardware components for software testing, leading to underutilization and unnecessary power consumption, which contributes to greenhouse gas emissions.

Innovation Solution

A software test suite green data center policy generation system identifies underutilized hardware components by predicting their utilization rates using a time-series utilization forecasting engine, and then generates policies to throttle power to these components during software testing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If hardware components are reserved for software testing, then testing reliability is improved, but power consumption increases and CO2 emissions rise

Engineering Contradiction:

Improvetesting reliabilityVSAvoidpower consumption

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system dynamically adjusts hardware resource allocation based on predicted testing needs. Instead of static reservation, the policy generation system forecasts utilization rates and throttles power to components predicted to be underutilized during specific test suite executions, maintaining reliability while reducing energy waste

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes the operational parameters of hardware components by throttling power delivery based on predicted utilization. The green policy generation system modifies power consumption levels dynamically according to forecasted testing requirements, transforming the fixed power consumption model into an adaptive one that reduces CO2 emissions

Inventive Principle:

Principle #35Parameter changes

2Reliability

If hardware components are reserved for software testing, then testing reliability is improved, but CO2 emissions increase

Engineering Contradiction:

Improvetesting reliabilityVSAvoidCO2 emissions

Core Design Contradiction:

ReliabilityVSObject-generated harmful factors

Solution Approach 1:

The system implements dynamic power management that adjusts hardware operation states based on predicted testing demands. The utilization forecasting engine and policy generation system work together to create time-varying power allocation strategies, reducing CO2 emissions by powering down or throttling components only when and where underutilization is predicted

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system uses historical utilization data to forecast future needs and generates policies based on these predictions. This feedback loop allows the system to learn from past testing patterns and optimize power allocation accordingly, minimizing CO2 emissions while ensuring testing reliability through data-driven decisions

Inventive Principle:

Principle #23Feedback

3Loss of energy

If power is throttled to hardware components, then power consumption is reduced, but testing performance may deteriorate

Engineering Contradiction:

Improvepower consumptionVSAvoidtesting performance

Core Design Contradiction:

Loss of energyVSProductivity

Solution Approach 1:

The system performs preliminary forecasting of hardware utilization before test suite execution. By predicting which components will be underutilized in advance, the system can proactively throttle power to those specific components without impacting the performance of components that will actually be needed for testing

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system applies differential power management to individual hardware components rather than uniformly throttling all resources. The green policy generation system identifies specific components predicted to be underutilized and throttles power only to those, maintaining full power for components that will be actively used during testing, thus preserving overall testing performance

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS12235752B2System and method for developing green data center policies to minimize CO2 generated during execution of test suites on a per software feature testing basis

Publication Date: 2025.02.25 DELL PROD LP

AI summary

An information handling system executing a software test suite green data center policy generation system comprising a network interface device receiving data center hardware utilization analytics and a software test suite identifier for a selected software test suit and a processor to identify a reserved capacity of the data center processing system reserved for general execution of software test suites according to general quality of service requirements for input/output commands and to predict a future data center processor utilization rate and execution duration for the selected software test suite by forecasting actual use of data center resources during a future execution of the selected software test suite that is below the reserved capacity, and the network interface device to transmit an instruction to throttle power supplied to an over-allocated portion of the data center resources from the reserved capacity duration execution of the selected software test suite.