Dynamic Power Limit Adjustment for Server Rack Throughput
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Solution Overview
Problem
Current power management systems for rack systems struggle to optimize power utilization across multiple servers, leading to inefficiencies and suboptimal throughput, as they primarily focus on individual server power capping without considering system-wide power constraints and variable demand.
Innovation Solution
A method and system that dynamically adjust device power limits within a group of interconnected electronic devices, identifying lower- and higher-utilization devices to allocate power more efficiently, ensuring the sum of device power limits equals a group power limit, thereby maximizing throughput while adhering to system-wide power constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If individual server power capping is implemented, then power consumption of each server is controlled, but system-wide power utilization is suboptimal
Solution Approach 1:
The patent implements dynamic power limit adjustment where the power management module continuously monitors system conditions and adjusts device power limits in real-time based on aggregate power consumption, device utilization metrics, and policy settings. This dynamic approach allows the system to optimize power distribution across devices rather than using static individual power caps
Solution Approach 2:
The system employs feedback mechanisms where the power management module receives power consumption data from power meters on each device, calculates aggregate power consumption, and uses this feedback to adjust power limits. The system also incorporates feedback from device utilization metrics and policy settings to make informed power allocation decisions
2Reliability
If static power limits are enforced on each device, then power constraints are maintained, but variable system demands cannot be met
Solution Approach 1:
The patent transitions from static to dynamic power limit enforcement by continuously adjusting device power limits based on real-time system conditions. The power management module monitors aggregate power consumption and device utilization metrics, then dynamically modifies power limits to adapt to varying system demands while maintaining policy-compliant power constraints
Solution Approach 2:
The system changes the power limit parameter dynamically based on multiple factors including aggregate power consumption, device utilization metrics, and policy settings. This parameter adjustment allows the system to maintain reliability through constraint enforcement while adapting to variable demands through continuous parameter optimization
3Use of energy by stationary object
If power limits are reduced to meet system constraints, then system-wide power consumption is controlled, but device throughput decreases
Solution Approach 1:
The patent applies differentiated power limit adjustments to individual devices based on their specific utilization metrics and contribution to aggregate power consumption. Rather than uniformly reducing power limits across all devices, the system identifies which devices can tolerate power reductions and which should maintain higher power limits to preserve throughput, applying local quality variations to optimize the system-wide power-throughput tradeoff
Solution Approach 2:
The system dynamically adjusts the power limit parameter for each device based on real-time conditions, changing these parameters to balance aggregate power consumption control with device throughput maintenance. The power management module continuously optimizes these parameters based on feedback from power meters and utilization metrics
Data Source
AI summary
A variable group power limit is enforced to limit the net power consumption of a group of devices in a computer system, and a variable device power limit enforced on each device is independently adjustable to satisfy the current group power limit. The device power limits are dynamically selected according to a power management method that selectively reduces the device power limits of lower-utilization devices and increases the device power limits of higher-utilization devices.