Infrastructure Management for Data Center Energy Optimization
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Solution Overview
Problem
The interaction of energy-saving technologies in data centers, such as virtualization and renewable energy, with unique workloads is difficult to predict, making it challenging to optimize energy use and environmental impact effectively.
Innovation Solution
An infrastructure management apparatus and method that performs an integrated analysis of resource supply and demand, using modules like an infrastructure manager, utilization simulator, resource modeler, and resource source simulator to evaluate and compare different approaches for managing resources, recommending optimal resource allocation and management policies based on user goals and data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If multiple energy-saving technologies (virtualization, renewable energy, cooling technologies) are integrated in data centers, then energy use and environmental impact are reduced, but the joint behavior and interaction of these technologies with unique workloads becomes difficult to predict
Solution Approach 1:
The system segments the complex infrastructure into distinct components (compute resources, storage resources, networking resources, cooling systems, power supply) that can be independently modeled and analyzed. Each component's behavior is simulated separately before integrating them to understand joint behavior, making the complex system manageable and predictable.
Solution Approach 2:
The system performs preliminary simulation and analysis of infrastructure behavior under various workload conditions before actual deployment or decision-making. By predicting resource utilization patterns, energy consumption, and environmental impact in advance through virtual simulation, the system avoids the complexity of predicting actual joint behavior of multiple technologies.
2Productivity
If virtualization technology is used to consolidate workload, then IT utilization is facilitated and power consumption is reduced, but the interaction with unique workloads makes prediction difficult
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring actual workload patterns and comparing them with simulated predictions. This feedback loop allows the system to refine its understanding of how virtualized workloads interact with infrastructure components, improving prediction accuracy while maintaining high IT utilization through optimized resource allocation.
Solution Approach 2:
The system changes parameters by creating multiple simulation scenarios with varying workload characteristics, virtualization configurations, and resource allocation strategies. By analyzing how different parameter combinations affect system behavior, the system can predict outcomes without needing to understand every detailed interaction, thus maintaining productivity while reducing prediction difficulty.
3Object-affected harmful factors
If cooling technologies and renewable energy are deployed, then environmental impact is reduced, but integrated analysis of supply and demand becomes necessary to optimize effectively
Solution Approach 1:
The simulation system serves multiple functions simultaneously: it analyzes power supply demand, cooling requirements, renewable energy integration, and environmental impact all within a single integrated platform. This multi-functional approach reduces the complexity of conducting separate analyses for each aspect while optimizing their interactions.
Solution Approach 2:
The system introduces an intermediary simulation layer that mediates between the complex interactions of cooling technologies, renewable energy sources, and workload demands. This virtual intermediary models the joint behavior of these components, allowing stakeholders to understand and optimize their interactions without directly managing the complexity of their integrated analysis.
Data Source
AI summary
In a method for managing an infrastructure, a utilization of a plurality of infrastructure components in performing an objective is simulated. In addition, a resource demand for the infrastructure associated with the simulated utilization of the infrastructure components is determined and a supply of resources by a plurality of available sources to meet the determined resource demand is simulated. Moreover, at least one metric associated with the determined resource demand and the simulated supply of resources by the plurality of available sources is determined.