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Visualizing Multidimensional Health Status of Data Centers

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Programming and Performance Visualization Tools (ESPT 2017, ESPT 2018, VPA 2017, VPA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11027))

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 data center of 10 racks and 467 hosts. The work was developed using feedback from both industrial and acadamic domain experts.

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Authors and Affiliations

  1. Texas Tech University, Lubbock, TX, 79409, USA

    Tommy Dang

Authors
  1. Tommy Dang
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Correspondence to Tommy Dang .

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Editors and Affiliations

  1. Lawrence Livermore National Laboratory, Livermore, CA, USA

    Abhinav Bhatele

  2. Lawrence Livermore National Laboratory, Livermore, CA, USA

    David Boehme

  3. The University of Arizona, Tucson, AZ, USA

    Joshua A. Levine

  4. University of Oregon, Eugene, OR, USA

    Allen D. Malony

  5. Technical University of Munich, Munich, Germany

    Martin Schulz

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Dang, T. (2019). Visualizing Multidimensional Health Status of Data Centers. In: Bhatele, A., Boehme, D., Levine, J., Malony, A., Schulz, M. (eds) Programming and Performance Visualization Tools. ESPT ESPT VPA VPA 2017 2018 2017 2018. Lecture Notes in Computer Science(), vol 11027. Springer, Cham. https://doi.org/10.1007/978-3-030-17872-7_17

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  • DOI: https://doi.org/10.1007/978-3-030-17872-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-17871-0

  • Online ISBN: 978-3-030-17872-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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