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A Provenance Management System for Research Data Management in High-Performance Computing Systems

In: Sustained Simulation Performance 2022

Author

Listed:
  • Yuta Namiki

    (NEC Corporation
    Cybermedia Center, Osaka University, Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis)

  • Takeo Hosomi

    (NEC Corporation
    Cybermedia Center, Osaka University, Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis)

  • Hideyuki Tanushi

    (Cybermedia Center, Osaka University, Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis)

  • Akihiro Yamashita

    (Cybermedia Center, Osaka University, Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis)

  • Susumu Date

    (Cybermedia Center, Osaka University, Joint Research Laboratory for Integrated Infrastructure of High Performance Computing and Data Analysis)

Abstract

Research data management (RDM) has become increasingly important recently. High-performance computing (HPC) systems that process large volumes of data face the problem of how to manage the research data produced in their systems. Since the purposes of RDM are to improve the reproducibility of research and the reusability of the research data, collecting and managing the provenance of data produced in HPC systems is essential. In this paper, we introduce the concept of a provenance management system for RDM in HPC systems. We analyze use cases of provenance and the requirements for collecting and managing provenance. We also discuss implementation of the requirements. Finally, we introduce our prototype of the provenance management system.

Suggested Citation

  • Yuta Namiki & Takeo Hosomi & Hideyuki Tanushi & Akihiro Yamashita & Susumu Date, 2024. "A Provenance Management System for Research Data Management in High-Performance Computing Systems," Springer Books, in: Michael M. Resch & Johannes Gebert & Hiroaki Kobayashi & Hiroyuki Takizawa & Wolfgang Bez (ed.), Sustained Simulation Performance 2022, pages 13-24, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-41073-4_2
    DOI: 10.1007/978-3-031-41073-4_2
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