Hierarchical Power Budgeting for Data Center Server Density
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Solution Overview
Problem
Data centers face challenges in maximizing server density due to power consumption and cooling limitations, leading to increased costs and potential service outages, as traditional methods like de-rating and name plate estimates fail to accurately predict power demands, especially with varying workloads.
Innovation Solution
Implementing a hierarchical power budgeting system that allocates and dynamically adjusts power consumption across zones, racks, and servers using management processors, allowing for adaptive power management through CPU p-states and clock modulation to stay within budgeted power levels, enabling more efficient use of power resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If servers are implemented as blade servers to increase density, then server capacity is improved, but cooling costs increase and service outages occur due to overheating
Solution Approach 1:
The patent implements dynamic power budgeting that continuously monitors and adjusts power allocation to servers based on real-time conditions. The system dynamically renegotiates power budgets between servers and power sources, allowing server density to be maximized while preventing overheating by adjusting power levels in response to changing thermal and power conditions.
Solution Approach 2:
The system employs feedback mechanisms where servers monitor their actual power consumption and thermal conditions, then communicate this information back to the power budgeting system. This feedback loop enables the system to adjust power budgets dynamically, ensuring that increased server density does not lead to overheating or excessive cooling costs.
2Productivity
If de-rating is applied to increase server density, then more servers can be accommodated, but actual power consumption is mis-predicted
Solution Approach 1:
The patent implements preliminary power budget allocation based on nameplate ratings before servers are deployed. This initial power budget serves as a baseline that can be dynamically adjusted later based on actual measured power consumption, allowing the system to start with conservative estimates and optimize upward as real data becomes available.
Solution Approach 2:
The system dynamically changes power budget parameters based on actual server performance and power consumption measurements. Rather than using fixed de-rated values, the system continuously adjusts power allocation parameters based on real-time conditions, improving both server density and power prediction accuracy simultaneously.
3Measurement precision
If power budget is allocated based on anticipated application, then power requirements are more accurately estimated, but unexpected workload changes cause circuit breaker trips or localized over-heating
Solution Approach 1:
The patent implements dynamic power budgeting that continuously monitors actual power consumption and automatically adjusts power allocation in response to workload changes. This dynamic approach prevents circuit breaker trips and overheating by real-time power level adjustments, maintaining service continuity even when workloads exceed initial expectations.
Solution Approach 2:
The system employs feedback mechanisms where servers continuously report actual power consumption to the power budgeting system. This real-time feedback enables the system to detect workload changes and adjust power budgets dynamically, preventing both under-provisioning (which causes outages) and over-provisioning (which causes overheating).
Data Source
AI summary
A method of adjusting power budgets of multiple servers within a data center comprises various actions. Such actions include, for example, organizing the multiple servers into hierarchical groups, dividing a total power budget among the hierarchical groups, and assigning power consumption levels to individual members of a particular hierarchical group such that the sum total of the assigned power consumption levels does not exceed the total power budget for the particular hierarchical group. The act of dividing is dynamic with respect to time.