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Results from a second longitudinal survey of academic research computing and data center usage: expenditures, utilization patterns, and approaches to return on investment

Published: 17 July 2021 Publication History

Abstract

Availability of cloud-based resource delivery modes is transforming many areas of computing. Academic research computing and data (RCD) support largely remains based on on-premises delivery and has adopted commercial clouds more slowly than the private sector for a variety of stated reasons including factors related to cost efficiency, return on investment, institutional requirements, high costs for bulk commercial cloud computing usage, and funding patterns. Other factors involved in selection of computing resource delivery modes include capabilities and applications that are available only in or best adapted to specific computing environments. It is important for the higher education and research communities to be able to learn from each other as institutions and individuals to make optimum use of appropriate modes of delivery for RCD resources. This paper reports an overview of results from the second annual community-wide survey conducted by the Coalition for Advanced Scientific Computation on patterns of funding, usage, and return on investment for academic research computing and data resources. The results show that on-premises delivery continues to remain the preferred mode for RCD resources for most responding institutions as found in the first survey, but that commercial cloud usage is beginning to be reported for production use by a small number of respondents to the survey. Reasons for these preferences are further explored in the survey and initial high-level results are reported here.

References

[1]
Sharon Broude Geva, Alan Chalker, Curtis W. Hillegas, Alan Sill, Craig A. Stewart, and Donald Petravick. 2021. Survey form and methods for second CASC survey of academic research computing and data center usage. https://doi.org/10.7302/1271
[2]
Alan Chalker, Curtis W. Hillegas, Alan Sill, Sharon Broude Geva, and Craig A. Stewart. 2020. Cloud and On-Premises Data Center Usage, Expenditures, and Approaches to Return on Investment: A Survey of Academic Research Computing Organizations. In Practice and Experience in Advanced Research Computing (Portland, OR, USA) (PEARC ’20). Association for Computing Machinery, New York, NY, USA, 26–33. https://doi.org/10.1145/3311790.3396642
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Craig A Stewart, Amy Apon, David Y Hancock, Thomas Furlani, Alan Sill, Julie Wernert, David Lifka, Nicholas Berente, Thomas Cheatham, and Shawn D Slavin. 2019. Assessment of Non-financial Returns on Cyberinfrastructure: A Survey of Current Methods. In Proceedings of the Humans in the Loop: Enabling and Facilitating Research on Cloud Computing (Chicago, IL, USA) (HARC ’19). ACM, New York, NY, USA, 2:1–2:10. https://doi.org/10.1145/3355738.3355749
[4]
Craig A. Stewart, David Y. Hancock, Julie Wernert, Thomas Furlani, David Lifka, Alan Sill, Nicholas Berente, Donald F. McMullen, Thomas Cheatham, Amy Apon, Ron Payne, and Shawn D. Slavin. 2019. Assessment of Financial Returns on Investments in Cyberinfrastructure Facilities: A Survey of Current Methods. In Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (Learning) (Chicago, IL, USA) (PEARC ’19). ACM, New York, NY, USA, Article 33, 8 pages. https://doi.org/10.1145/3332186.3332228
[5]
S. Wang and M. Casado. 2021. The Cost of Cloud, a Trillion Dollar Paradox. Andreessen Horowitz (a16z). https://a16z.com/2021/05/27/cost-of-cloud-paradox-market-cap-cloud-lifecycle-scale-growth-repatriation-optimization/

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  • (2024)Streamlit App for Cluster Publication Impact ExplorationPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670633(1-4)Online publication date: 17-Jul-2024
  • (2024)The Value Proposition of Campus High Performance Computing Facilities to Institutional Productivity: A Production Function ModelSN Computer Science10.1007/s42979-024-02888-05:5Online publication date: 16-May-2024
  • (2022)Return on Investment in Research Cyberinfrastructure: State of the ArtPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3535131(1-4)Online publication date: 8-Jul-2022
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Published In

cover image ACM Conferences
PEARC '21: Practice and Experience in Advanced Research Computing 2021: Evolution Across All Dimensions
July 2021
310 pages
ISBN:9781450382922
DOI:10.1145/3437359
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 17 July 2021

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Author Tags

  1. HPC
  2. cloud computing
  3. data-centric computing
  4. research computing
  5. return on investment

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Overall Acceptance Rate 133 of 202 submissions, 66%

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Cited By

View all
  • (2024)Streamlit App for Cluster Publication Impact ExplorationPractice and Experience in Advanced Research Computing 2024: Human Powered Computing10.1145/3626203.3670633(1-4)Online publication date: 17-Jul-2024
  • (2024)The Value Proposition of Campus High Performance Computing Facilities to Institutional Productivity: A Production Function ModelSN Computer Science10.1007/s42979-024-02888-05:5Online publication date: 16-May-2024
  • (2022)Return on Investment in Research Cyberinfrastructure: State of the ArtPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3535131(1-4)Online publication date: 8-Jul-2022
  • (2022)Measuring the Relative Outputs of Computational Researchers in Higher EducationPractice and Experience in Advanced Research Computing 2022: Revolutionary: Computing, Connections, You10.1145/3491418.3530764(1-7)Online publication date: 8-Jul-2022

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