Dynamic Power Pool Allocation for Data Center Server Spikes
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Solution Overview
Problem
Conventional power management methods in data centers, such as power capping, are not dynamic and fail to address the real-time power demands of individual servers, leading to inefficiencies and performance depreciation in other servers due to brief but significant power spikes during startup.
Innovation Solution
A system with a central controller connected to automatic transfer switches and power zones, dynamically allocating power resources by monitoring and redirecting power usage through a power pool, utilizing a Pooled System Management Engine and Field Programmable Gate Array for real-time optimization and machine learning-based power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If power capping is implemented to ensure efficient energy use, then power consumption is controlled, but real-time power demands of individual servers during startup cannot be met, causing performance depreciation
Solution Approach 1:
The patent implements dynamic power allocation that adapts to real-time server power demands. The system continuously monitors power consumption of individual servers and dynamically adjusts power distribution from the pool, transitioning from static power capping to dynamic power management that responds to actual workload requirements.
Solution Approach 2:
The system employs feedback mechanisms where the central controller monitors real-time power consumption data from servers and uses this information to adjust power allocation decisions. This closed-loop feedback enables the system to respond to power spikes during startup and optimize power distribution accordingly.
2Reliability
If additional power sources are added to meet brief power spikes during server startup, then server performance is maintained, but power costs increase and other servers suffer performance depreciation
Solution Approach 1:
The patent merges multiple power sources into a unified power pool that is centrally managed. Instead of having separate power sources for each server or relying on individual power caps, the system combines available power capacity into a shared pool that can be dynamically allocated to meet any single server's power demands without requiring additional infrastructure.
Solution Approach 2:
The power pool serves multiple functions: it acts as a shared power resource for all servers, provides a buffer for power spikes during startup, and enables dynamic reallocation based on actual demand. This multi-functional approach replaces the need for dedicated power sources for each server while maintaining performance.
3Ease of manufacture
If conventional power management methods are used, then implementation is simple, but they are not dynamic and cannot address real-time power demands of specific servers
Solution Approach 1:
The system enables self-service power management where the central controller automatically monitors power consumption and makes real-time allocation decisions without requiring manual intervention. The system self-adjusts power distribution based on monitored data, providing adaptability while maintaining operational simplicity.
Data Source
AI summary
A method and system for dynamically allocating power resources. The system includes a central controller connected to automatic transfer switches. The system also includes power zones. Each of the power zones includes server devices. Each of the automatic transfer switches are connected to at least one of the power zones. The system also includes a power pool connected to a power source. The power pool is connected to the central controller configured to dynamically allocate power of the power pool to the power zones.