Chassis Management Controller Dynamic Power Allocation
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Solution Overview
Problem
In modern machine rooms, the rapid increase in server nodes and cluster nodes leads to increased power consumption, which existing power reinforcement methods struggle to keep up with, resulting in inconsistent business workloads and inefficient power allocation, causing either processing limitations or waste of power resources.
Innovation Solution
An allocation method and system for power consumption in an integral chassis, where the Chassis Management Controller (CMC) determines and adjusts the power allocation based on the rated power consumption, actual power usage, and utilization ratios of each node, dynamically reallocating power to ensure optimal utilization and reduce waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power consumption is evenly allocated to all nodes by CMC, then power management is simplified, but power utilization efficiency deteriorates due to inconsistent business workloads across nodes
Solution Approach 1:
The patent implements dynamic power allocation where the CMC continuously monitors actual power consumption of each node and adjusts power limits in real-time based on workload changes. This transforms the static even allocation into a dynamic system that adapts to varying node demands, resolving the contradiction between operational simplicity and energy efficiency.
Solution Approach 2:
The system establishes a feedback loop where the CMC detects actual power consumption of individual nodes and uses this information to adjust power allocation. This feedback mechanism enables the system to automatically optimize power distribution according to actual workload conditions while maintaining automated management, thus improving power utilization without significantly increasing operational complexity.
2Adaptability or versatility
If manual power consumption limits are set for each node, then power distribution can be customized, but operational complexity increases and total power utilization is suboptimal
Solution Approach 1:
The patent enables nodes to effectively self-manage their power consumption by allowing them to draw power up to their allocated limits without constant manual intervention. The CMC provides the framework and automatic adjustments, while individual nodes autonomously operate within their power budgets, reducing the need for complex manual configuration and monitoring.
Solution Approach 2:
The system provides adaptable power allocation through dynamic adjustment of power limits based on actual consumption patterns and workload conditions. This dynamic approach combines the flexibility of customized allocation with automated management, avoiding the operational burden of manual configuration while maintaining adaptability to changing conditions.
3Power
If power reinforcement is implemented to accommodate increasing nodes, then power availability increases, but cost and infrastructure complexity increase
Solution Approach 1:
The patent optimizes power utilization by changing the distribution parameters of power allocation across nodes rather than simply increasing total power capacity. By adjusting allocation ratios and limits based on actual consumption and workload, the system maximizes the use of existing power infrastructure, delaying or eliminating the need for additional power reinforcement.
Solution Approach 2:
The feedback mechanism monitors actual power consumption and utilization patterns, enabling intelligent optimization of power distribution. This allows the system to fully utilize existing power capacity by directing it to nodes that need it most, rather than requiring additional power infrastructure to accommodate all nodes simultaneously.
4Loss of energy
If power consumption is restricted to meet total limits, then power costs are controlled, but processing speed and efficiency of individual nodes are limited
Solution Approach 1:
The system dynamically adjusts power allocation to balance total power consumption control with individual node performance needs. By continuously monitoring actual consumption and workload conditions, the CMC can allocate more power to high-priority or heavily-loaded nodes while maintaining overall power budget constraints, thus preserving processing efficiency while controlling total power costs.
Solution Approach 2:
The patent implements differentiated power allocation where different nodes receive different power limits and allocation strategies based on their specific workload characteristics, priority levels, and consumption patterns. This local optimization ensures that power-restricted nodes maintain adequate performance for their specific functions while the overall system stays within power budget limits.
Data Source
AI summary
Provided are an allocation method, system and device for power consumption of a complete machine box, and a readable storage medium. The method, applied to a CMC, includes: determining reserved total power consumption, based on rated power consumption of an integral chassis and preset power consumption of each node; allocating the preset power consumption to each node correspondingly; detecting, at a detection frequency, actual power consumption of each node; and re-allocating, for each node, the reserved total power consumption and the preset power consumption of the node, based on a rate of change in the actual power consumption of the node and/or a power consumption utilization ratio that is a ratio of the actual power consumption of the node to the preset power consumption of the node, thereby maximizing the effective utilization ratio of the integral chassis, reducing the unused power consumption, and reducing operating cost.