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Understanding the Determinants and Future Challenges of Cloud Computing Adoption for High Performance Computing

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  • Theo Lynn

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Grace Fox

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Anna Gourinovitch

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

  • Pierangelo Rosati

    (Irish Institute of Digital Business, Dublin City University, Collins Avenue, D09 Dublin, Ireland
    All the authors contributed equally to this work.
    This paper is an extension of a paper originally presented at the 51st Hawaii International Conference on System Sciences (HICSS-51). A second supplemental study has been added.)

Abstract

High performance computing (HPC) is widely recognized as a key enabling technology for advancing scientific progress, industrial competitiveness, national and regional security, and the quality of human life. Notwithstanding this contribution, the large upfront investment and technical expertise required has limited the adoption of HPC to large organizations, government bodies, and third level institutions. Recent advances in cloud computing and telecommunications have the potential to overcome the historical issues associated with HPC through increased flexibility and efficiency, and reduced capital and operational expenditure. This study seeks to advance the literature on technology adoption and assimilation in the under-examined HPC context through a mixed methods approach. Firstly, the determinants of cloud computing adoption for HPC are examined through a survey of 121 HPC decision makers worldwide. Secondly, a modified Delphi method was conducted with 13 experts to identify and prioritize critical issues in the adoption of cloud computing for HPC. Results from the quantitative phase suggest that only organizational and human factors significantly influence cloud computing adoption decisions for HPC. While security was not identified as a significant influencer in adoption decisions, qualitative research findings suggest that data privacy and security issues are an immediate and long-term concern.

Suggested Citation

  • Theo Lynn & Grace Fox & Anna Gourinovitch & Pierangelo Rosati, 2020. "Understanding the Determinants and Future Challenges of Cloud Computing Adoption for High Performance Computing," Future Internet, MDPI, vol. 12(8), pages 1-17, August.
    • Handle: RePEc:gam:jftint:v:12:y:2020:i:8:p:135-:d:397682
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    References listed on IDEAS

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    Cited by:

    1. Aminu Adamu Ahmed, 2023. "Analysing the issues surrounding information and communication technology penetration and growth," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 716-732, March.
    2. James A. Cunningham & Nadja Damij & Dolores Modic & Femi Olan, 2023. "MSME technology adoption, entrepreneurial mindset and value creation: a configurational approach," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1574-1598, October.
    3. Osama Abied & Othman Ibrahim & Siti Nuur-Ila Mat Kamal & Ibrahim M. Alfadli & Weam M. Binjumah & Norafida Ithnin & Maged Nasser, 2022. "Probing Determinants Affecting Intention to Adopt Cloud Technology in E-Government Systems," Sustainability, MDPI, vol. 14(23), pages 1-29, November.
    4. Nane Kratzke, 2022. "Cloud-Native Applications and Services," Future Internet, MDPI, vol. 14(12), pages 1-2, November.

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