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Unveiling User Behavior on Summit Login Nodes as a User

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Computational Science – ICCS 2022 (ICCS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13350))

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Abstract

We observe and analyze usage of the login nodes of the leadership class Summit supercomputer from the perspective of an ordinary user—not a system administrator—by periodically sampling user activities (job queues, running processes, etc.) for two full years (2020–2021). Our findings unveil key usage patterns that evidence misuse of the system, including gaming the policies, impairing I/O performance, and using login nodes as a sole computing resource. Our analysis highlights observed patterns for the execution of complex computations (workflows), which are key for processing large-scale applications.

This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The publisher acknowledges the US government license to provide public access under the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).

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Acknowledgments

This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725. We acknowledge Suzanne Parete-Koon for early brainstorming of some of the ideas presented here. We thank Scott Atchley, Bronson Messer, and Sarp Oral for their thorough revision of this paper.

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Authors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Sean R. Wilkinson, Ketan Maheshwari & Rafael Ferreira da Silva

Authors
  1. Sean R. Wilkinson
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  2. Ketan Maheshwari
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  3. Rafael Ferreira da Silva
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Corresponding author

Correspondence to Sean R. Wilkinson .

Editor information

Editors and Affiliations

  1. Brunel University London, London, UK

    Derek Groen

  2. University of Amsterdam, Amsterdam, The Netherlands

    Clélia de Mulatier

  3. AGH University of Science and Technology, Krakow, Poland

    Maciej Paszynski

  4. University of Amsterdam, Amsterdam, The Netherlands

    Valeria V. Krzhizhanovskaya

  5. University of Tennessee at Knoxville, Knoxville, TN, USA

    Jack J. Dongarra

  6. University of Amsterdam, Amsterdam, The Netherlands

    Peter M. A. Sloot

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Wilkinson, S.R., Maheshwari, K., Silva, R.F.d. (2022). Unveiling User Behavior on Summit Login Nodes as a User. In: Groen, D., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2022. ICCS 2022. Lecture Notes in Computer Science, vol 13350. Springer, Cham. https://doi.org/10.1007/978-3-031-08751-6_37

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  • DOI: https://doi.org/10.1007/978-3-031-08751-6_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08750-9

  • Online ISBN: 978-3-031-08751-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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