#5852. HiperView: real-time monitoring of dynamic behaviors of high-performance computing centers

July 2026publication date
Proposal available till 17-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Theoretical Computer Science;
Information Systems;
Hardware and Architecture;
Software;
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Abstract:
This paper presents HiperView, a visual analytics framework monitoring and characterizing the health status of high-performance computing systems through a RESTful interface in real time. The primary objectives of this visual analytical system are: (1) to provide a graphical interface for tracking the health status of a large number of data center hosts in real-time statistics, (2) to help users visually analyze unusual behavior of a series of events that may have temporal and spatial correlation, and (3) to assist in performing preliminary troubleshooting and maintenance with a visual layout that reflects the actual physical locations. Two use cases were analyzed in detail to assess the effectiveness of the HiperView on a medium-scale, Redfish-enabled production high-performance computing system with a total of 10 racks and 467 hosts.
Keywords:
Baseboard Management Controller (BMC); Boxplots; Data center; Heatmap; High-performance computing; HPC visualization; Multidimensional data visualization; Nagios Core; Radar charts; Redfish; RESTful API; Scatterplot; Time-series data analysis; Visual features

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