Dynamic Data Center Infrastructure Scaling for Energy Efficiency
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Solution Overview
Problem
Data centers face inefficiencies due to oversized and static infrastructure that fails to adapt to rapid changes in IT loads, leading to increased energy consumption, operational costs, and potential service disruptions, as the supporting infrastructure often lags behind IT equipment upgrades and changes in power densities.
Innovation Solution
A system and method utilizing software to control and record environmental data from sensors placed throughout a data center, providing detailed status reports and analytics, enabling real-time monitoring and flexible reconfiguration of infrastructure to match IT demands, thereby optimizing power usage and reducing costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If infrastructure is oversized to handle peak IT loads, then reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic infrastructure scaling that automatically adjusts cooling and power resources based on real-time IT load conditions. Sensors monitor IT equipment power consumption and environmental conditions, triggering automated responses that scale infrastructure capacity up or down dynamically, replacing static oversized infrastructure with adaptive dynamic systems.
Solution Approach 2:
The system establishes closed-loop feedback mechanisms where sensors continuously monitor IT load, environmental conditions, and infrastructure performance. This feedback drives automated control systems that adjust cooling and power distribution in real-time, enabling the infrastructure to respond proportionally to actual demands rather than operating at fixed oversized capacities.
2Device complexity
If infrastructure is static to simplify management, then device complexity is reduced, but adaptability to IT load changes deteriorates
Solution Approach 1:
The patent implements self-service automation where the infrastructure monitors its own performance and automatically adjusts without human intervention. Automated systems detect IT load changes and independently scale cooling and power resources, eliminating the need for complex manual management while maintaining high adaptability to changing conditions.
Solution Approach 2:
The system transitions from static to dynamic infrastructure management, where automated control systems continuously adjust infrastructure capacity based on real-time conditions. This dynamic approach simplifies management by removing manual intervention requirements while simultaneously improving adaptability through automated response to load changes.
3Measurement precision
If more sensors are deployed to improve measurement precision, then environmental monitoring accuracy is improved, but device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor nodes that simultaneously measure multiple environmental parameters (temperature, humidity, pressure, air flow) and IT equipment conditions. This universal sensing approach achieves comprehensive high-precision monitoring while reducing overall system complexity by consolidating multiple single-function sensors into integrated multi-functional units.
Data Source
AI summary
The present disclosure pertains to utilizing hardware and software to control and record environmental and other data obtained from sensors and other devices, placed throughout a facility, and analyzing and displaying the information in a detailed status report of the environmental conditions inside facility, and once analyzed, the software can provide recommendations to implement measures that increase the efficiency of the facility.