Data Center Workload Repositioning for Cooling Efficiency
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Solution Overview
Problem
Conventional solutions for managing computer resources in data centers often over-provision resources to meet service level agreements, leading to inefficiencies in equipment usage, power consumption, and increased costs, while lacking integration of workload performance management and cooling considerations.
Innovation Solution
An automated system that integrates workload performance management, workload placement, and power/cooling control to dynamically adjust IT resources, reposition workloads, and adjust cooling resources based on real-time workload and cooling conditions to meet performance requirements, thereby minimizing resource usage and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computer resources are over-provisioned to meet service level agreements, then service level agreement fulfillment is ensured, but equipment usage efficiency deteriorates and costs increase
Solution Approach 1:
The patent implements dynamic resource provisioning that adjusts computer resources in real-time based on actual workload conditions and service level agreement requirements. The system continuously monitors system state and automatically scales resources up or down, replacing static over-provisioning with adaptive dynamic allocation that matches supply to demand.
Solution Approach 2:
The system incorporates feedback mechanisms that monitor service level agreement compliance and workload conditions, then use this information to adjust resource allocation. The automated resource management system receives feedback on performance metrics and service level agreement fulfillment, continuously optimizing resource distribution to maintain reliability while reducing excess provisioning.
2Reliability
If computer resources are over-provisioned to meet service level agreements, then service level agreement fulfillment is ensured, but power consumption increases
Solution Approach 1:
The system dynamically adjusts power consumption by scaling computer resources according to actual needs rather than maintaining static over-provisioned capacity. The automated management system modifies resource allocation in real-time, reducing power consumption during low-demand periods while ensuring sufficient capacity is available to meet service level agreements during peak periods.
Solution Approach 2:
The patent changes operational parameters of computer resources based on monitored conditions, adjusting CPU frequency, memory allocation, and other resource parameters dynamically. This allows the system to optimize the balance between service level agreement fulfillment and power consumption by modifying resource parameters rather than maintaining fixed over-provisioned settings.
3Device complexity
If conventional resource management is used without cooling integration, then workload management is simplified, but cooling efficiency deteriorates and energy consumption increases
Solution Approach 1:
The patent merges workload management with cooling resource management into a unified automated system. By combining these previously separate functions, the system can coordinate workload placement with cooling capacity, placing workloads on servers in cooling-efficient locations and adjusting cooling resources based on actual thermal conditions and workload heat generation, thereby reducing cooling energy consumption without significantly increasing management complexity.
Solution Approach 2:
The automated resource management system performs multiple functions including workload scheduling, resource allocation, and cooling optimization simultaneously. This multi-functional approach allows a single system to manage both computational resources and thermal management, improving overall efficiency while avoiding the need for separate specialized management systems.
Data Source
AI summary
Managing computer resources. Workload state information associated with one or more servers in a data center is accessed by a computer, the workload state information comprises workload placement on one or more servers, cooling conditions of the one or more servers, and performance requirements associated with a data center. Cooling state information of cooling resources associated with the one or more servers are accessed by the computer, the cooling state information comprises cooling conditions of the cooling resources. The workload state information and the cooling state information are compared by the computer. Based on the comparing, the computer generates workload repositioning instructions that instruct repositioning of workload on the one or more servers to meet the performance requirements.