Compute Node Power Management via Component Utilization Analysis
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Solution Overview
Problem
Datacenters face high power consumption and associated expenses due to compute nodes, with existing power management methods often reducing performance by imposing caps on components, which can lead to inefficient energy use and thermal issues.
Innovation Solution
A method that collects component utilization data to identify underutilized components during previous workload executions and throttles them to prevent exceeding a threshold utilization level during subsequent executions, optimizing power usage without compromising performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power caps are imposed on compute nodes or components, then power consumption is reduced, but workload performance deteriorates
Solution Approach 1:
The system performs preliminary analysis of component utilization data from previous workload executions to identify which components are underutilized before imposing power caps. This preliminary identification ensures that only non-critical components are throttled, preventing performance degradation while achieving power reduction goals
Solution Approach 2:
The system continuously monitors component utilization data and uses this feedback to dynamically adjust power management decisions. By analyzing utilization patterns from previous executions and real-time data, the system adapts its throttling strategy to maintain performance while reducing power consumption
2Productivity
If component utilization is increased to improve performance, then productivity increases, but power consumption and heat generation increase
Solution Approach 1:
The system applies different power management strategies to different components based on their individual utilization characteristics. Instead of uniformly throttling all components, it selectively identifies underutilized components and applies power caps only to those, while allowing heavily utilized components to operate at full capacity
3Use of energy by moving object
If uniform power caps are applied to all components, then power consumption is reduced, but system complexity increases and performance optimization decreases
Solution Approach 1:
The system segments the compute node into individual components and analyzes each component's utilization independently. This segmentation allows for targeted power management decisions on a per-component basis, simplifying the overall management complexity while achieving better power optimization than uniform caps
Data Source
AI summary
A method includes obtaining component utilization data for multiple components of a compute node during at least one previous execution of a workload. The method further includes using the component utilization data to identify a first component having a utilization level that is less than a threshold utilization level during the at least one previous execution of the workload, wherein the first component is one of the multiple components of the compute node. The method still further includes, during a subsequent execution of the workload on the compute node, throttling the first component to prevent the first component from exceeding the threshold utilization level.


