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

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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. The visualization apparatus has been proven to offer the necessary support for system automation and control. Our framework’s visual components and interfaces are designed to potentially handle a larger-scale data center of thousands of hosts with hundreds of various health services per host.

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Notes

  1. A computer room air conditioning (CRAC) unit is a device that monitors and maintains the temperature, air distribution, and humidity in a network room or data center.

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Acknowledgements

The authors acknowledge the High-Performance Computing Center (HPCC) at Texas Tech University [18] in Lubbock for providing HPC resources and data that have contributed to the research results reported within this paper. The authors are thankful to the anonymous reviewers for their valuable feedback and suggestions that improved this paper significantly. This research is supported in part by the National Science Foundation under grant CNS-1362134, OAC-1835892, and through the IUCRC-CAC (Cloud and Autonomic Computing) Dell Inc. membership contribution.

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  1. Texas Tech University, Lubbock, TX, USA

    Tommy Dang, Ngan Nguyen & Yong Chen

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  1. Tommy Dang
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  2. Ngan Nguyen
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Correspondence to Tommy Dang.

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Dang, T., Nguyen, N. & Chen, Y. HiperView: real-time monitoring of dynamic behaviors of high-performance computing centers. J Supercomput 77, 11807–11826 (2021). https://doi.org/10.1007/s11227-021-03724-5

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