Data Center Infrastructure Utilization Quantification
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Solution Overview
Problem
Data centers face challenges in efficiently monitoring and managing their infrastructure, leading to suboptimal performance, reliability, and alignment with organizational values such as sustainability, which are often non-obvious and difficult to measure.
Innovation Solution
A system and method for data center monitoring and management that identifies and analyzes infrastructure utilization units within an IT environment, providing quantification and recommendations to optimize resource allocation and align with organizational values through a data center monitoring and management console that includes modules for monitoring, management, organizational value analysis, and infrastructure utilization quantification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional data center monitoring methods are used, then basic infrastructure monitoring is achieved, but organizational values such as sustainability are difficult to measure and align
Solution Approach 1:
The patent segments the monitoring system into distinct functional modules: infrastructure monitoring module, organizational value analysis module, and alignment assessment module. Each module handles specific aspects of the monitoring task, enabling precise measurement of organizational values like sustainability while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces an intermediary alignment assessment mechanism that bridges infrastructure monitoring data and organizational value metrics. This intermediary layer processes raw infrastructure data and translates it into meaningful organizational value measurements, enabling precise measurement without requiring direct complex integration between all system components.
2Reliability
If comprehensive infrastructure monitoring is implemented, then availability and performance improve, but alignment with organizational goals becomes harder to demonstrate
Solution Approach 1:
The patent implements a feedback mechanism where organizational value alignment metrics are continuously calculated and fed back to stakeholders. The system monitors infrastructure performance, assesses alignment with organizational goals, and provides feedback reports that demonstrate how reliability improvements contribute to organizational values, preventing loss of alignment information.
Solution Approach 2:
The monitoring system is designed with multi-functionality to simultaneously track infrastructure metrics (availability, performance) and organizational value metrics (sustainability, cost efficiency). This universal approach ensures that comprehensive monitoring delivers both reliability improvements and alignment demonstration through integrated measurement capabilities.
3Measurement precision
If manual infrastructure analysis is performed, then detailed insights are obtained, but productivity and automated decision-making are reduced
Solution Approach 1:
The patent implements self-service automation where the system automatically performs infrastructure analysis, calculates organizational value alignment, and generates optimization recommendations without manual intervention. The automated analysis engine processes monitoring data, applies assessment algorithms, and produces actionable insights, maintaining measurement precision while dramatically improving productivity and decision-making speed.
Solution Approach 2:
The patent replaces manual mechanical analysis processes with automated computational systems. The infrastructure analysis function is substituted from human-performed manual analysis to machine-executed automated algorithms that process monitoring data, assess alignment, and generate recommendations, preserving analytical precision while eliminating time-consuming manual operations.
Data Source
AI summary
A system, method, and computer-readable medium are disclosed for performing a data center monitoring and management operation. The data center monitoring and management operation includes: identifying a data center infrastructure utilization unit associated with an information technology (IT) environment, the IT environment including a data center asset; analyzing the IT environment based upon the data center infrastructure utilization unit; and, presenting a data center infrastructure utilization quantification based upon the analyzing.