Visualizing Multidimensional Health Status of Data Centers
Authors: Tommy Dang (Texas Tech University)
Abstract: Monitoring data centers is challenging due to their size, complexity, and dynamic nature. This project proposes a visual approach for situational awareness and health monitoring of high-performance computing systems. The visualization requirements are expanded on the following dimensions: 1) High performance computing spatial layout, 2) Temporal domain (historical vs. real-time tracking), and 3) System health services such as temperature, CPU load, memory usage, fan speed, and power consumption. To show the effectiveness of our design, we demonstrate the developed prototype on a medium-scale high-performance computing system of 10 racks and 467 hosts. The work was developed using feedback from both industrial and academic domain experts.
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