DCIM Compute Density Control for Data Center Energy Efficiency
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Solution Overview
Problem
Data centers face inefficiencies in energy consumption and resource management due to static infrastructure and complex dynamic workloads, with existing systems struggling to monitor and manage infrastructure effectively for optimal efficiency.
Innovation Solution
A Data Center Infrastructure Management (DCIM) system employing predictive analytics to continuously collect and analyze data from compute, power, and facility systems, enabling automated adjustments and calibrations based on estimated compute and power requirements, as well as network data resource needs, to optimize infrastructure efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data center density continues to increase, then computing power and capacity improve, but energy consumption and cooling requirements worsen
Solution Approach 1:
The patent implements dynamic workload allocation and infrastructure adjustment mechanisms that allow the data center to adapt computing resources in real-time based on actual demand patterns, preventing over-provisioning and reducing wasted energy consumption while maintaining high computing power utilization
Solution Approach 2:
The system continuously monitors and adjusts operational parameters such as power distribution, cooling rates, and resource allocation based on real-time conditions, optimizing the balance between computing power output and energy consumption by changing operational parameters dynamically rather than maintaining static configurations
2Productivity
If data center density continues to increase, then computing power improves, but cooling requirements worsen
Solution Approach 1:
The patent implements localized cooling strategies that target specific high-heat-generation areas within the data center rather than uniform cooling across all spaces, improving cooling efficiency by concentrating cooling resources where computing power density and heat generation are highest
Solution Approach 2:
The system employs continuous temperature monitoring and feedback mechanisms that adjust cooling system operation based on real-time thermal conditions, reducing unnecessary cooling energy consumption while maintaining optimal temperatures for high-density computing operations
3Device complexity
If static infrastructure is placed under dynamic workloads, then infrastructure simplicity is maintained, but infrastructure inefficiencies worsen
Solution Approach 1:
The patent transforms static infrastructure into a dynamic system that automatically adjusts resource allocation, power distribution, and workload placement based on real-time conditions, resolving the contradiction by introducing necessary complexity that enables the infrastructure to adapt efficiently to dynamic workloads while maintaining operational simplicity through automation
Data Source
AI summary
Embodiments disclosed include data center infrastructure management (DCIM) systems and methods configured to collect data center compute systems, power systems, and facility systems data, trigger an action or actions based on a diagnosed or predicted condition according to the collected data, and thereby control via a compute, power, and facilities module, the compute systems, power systems and facility systems in the data center. According to an embodiment, the control via the compute, power, and facilities module comprises calibrating the compute, power, and facility systems based on an estimated compute requirement, and an associated power, cooling, and network data resource requirement. The estimated compute requirement comprises estimating compute density per real-time power wattage, and storage density per real-time power wattage.