Text-Based Cluster Node Status Visualization
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Solution Overview
Problem
Managing and troubleshooting large-scale clusters with thousands of nodes is challenging due to the voluminous information provided by command line and GUI interfaces, which overwhelms human processing capabilities and consumes significant processing time and bandwidth, making it difficult to identify and address anomalies efficiently.
Innovation Solution
A cluster visualization engine generates a text character-based status visual that spatially organizes node statuses in a single pane, allowing for concise viewing of all node statuses at once, reducing bandwidth consumption, and enabling quick identification of problematic trends, regardless of geographical location or language barriers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If command line or GUI interfaces are used to display node statuses, then comprehensive status information is provided, but the voluminous information overwhelms human processing capabilities and consumes significant processing time and bandwidth
Solution Approach 1:
The patent creates a simplified text-based copy of the node status information that preserves the essential data while reducing complexity. Instead of displaying full GUI interfaces or raw command line output, the system generates a condensed text representation that maintains status completeness while improving human processing efficiency
Solution Approach 2:
The patent extracts only the essential status information from the comprehensive node data, separating critical status indicators from unnecessary details. This extraction process removes redundant information while retaining the core status data needed for monitoring and troubleshooting
2Reliability
If detailed node status information is displayed, then comprehensive monitoring is achieved, but it consumes significant bandwidth and processing resources
Solution Approach 1:
The patent transmits a lightweight text-based copy of status information instead of full graphical interface data. This text representation consumes significantly less bandwidth while preserving the essential monitoring data needed for reliable cluster status assessment
Solution Approach 2:
The patent uses lightweight text-based status representations that are inexpensive to transmit and generate. These text status copies can be rapidly created and discarded, consuming minimal processing resources and bandwidth compared to persistent graphical interface data
3Loss of information
If traditional interfaces are used for cluster monitoring, then detailed information is available, but it is difficult to quickly identify problematic trends
Solution Approach 1:
The patent uses different text characters and symbols to represent different node statuses, creating a visual distinction that enables rapid identification of problematic trends. Although text-based, the system employs character variations (such as different symbols for different states) that facilitate quick visual scanning and anomaly detection
Solution Approach 2:
The patent organizes node status information into structured text formats that segment data by rack, chassis, and node, making it easier to scan and identify patterns. This segmentation maintains detailed status information while improving readability and anomaly detection speed through organized presentation
Data Source
AI summary
A process includes receiving data representing states of a plurality of nodes of a cluster. The process includes, based on the states, generating data to display, in a text mode on a display device, a plurality of text character status indicators. First text character status indicators are arranged in a first grid that correspond to a physical layout of first nodes in a first computer system rack, and each first text character status indicator represents a status of a corresponding first node.