Data Center Performance Monitoring with Uptime Score Dashboards
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging for operators to efficiently monitor and track the overall performance of a data center or a portfolio of data centers due to the vast amount of generated data, making it difficult to quickly identify key performance indicators.
Innovation Solution
A system and method that includes a controller to receive signals representing operating conditions, determine power quality criteria violations, calculate uptime status, and generate a dashboard displaying performance metrics such as uptime status and overall performance scores, allowing for improved monitoring and management of data center performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If operators manually monitor and analyze the prodigious volume of data generated by a data center, then they can identify performance issues, but it becomes difficult and time-consuming to quickly and easily identify overall performance metrics
Solution Approach 1:
The patent introduces a controller as an intermediary device that automatically collects, processes, and analyzes data from multiple servers and storage devices. This controller acts as a mediator between the raw data sources and the operator, computing performance metrics and presenting them in an easily interpretable format, thereby eliminating the need for operators to manually sift through prodigious volumes of raw data
Solution Approach 2:
The system creates simplified copies or representations of the complex data center performance data through performance metrics and visual displays. Instead of presenting raw operational data, the system generates aggregated performance indicators that replicate the essential information in a condensed, easily analyzable form, allowing operators to quickly assess overall performance without examining the underlying data volume
2Ease of operation
If the system aggregates performance data from all servers and storage devices to provide an overall performance view, then operators can quickly identify data center performance, but the system complexity increases
Solution Approach 1:
The monitoring system is segmented into distinct functional modules: data collection modules at each server and storage device, a central controller for processing, and a display interface. This segmentation allows the complex task of overall performance monitoring to be divided into manageable components, where each module handles a specific aspect of data gathering, processing, or presentation, thereby reducing the perceived complexity for operators
3Reliability
If the system monitors multiple performance parameters across numerous devices, then comprehensive performance tracking is achieved, but the volume of data to be analyzed increases significantly
Solution Approach 1:
The system merges performance data from multiple servers and storage devices into unified performance metrics at the controller level. By combining individual device performance data into aggregated overall performance indicators, the system maintains comprehensive monitoring coverage while reducing the quantity of data that operators must analyze, presenting consolidated views rather than separate data streams from each device
Data Source
AI summary
Performance of a data center may be monitored by tracking operation conditions over time, including when the data center has an adequate power supply and when the data center lacks an adequate power supply. An uptime status may be determined from this data. The uptime status and other performance parameters may be calculated, and may be used in determining an overall performance score for the data center. A dashboard may be displayed that includes the uptime status and the overall performance score of the data center.