Open Access
Issue
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
Article Number 07046
Number of page(s) 6
Section Facilities and Virtualization
DOI https://doi.org/10.1051/epjconf/202429507046
Published online 06 May 2024
  1. Alexandre F. Boyer et al. “A Subset of the CERN Virtual Machine File System: Fast Delivering of Complex Software Stacks for Supercomputing Resources”. In: Lecture Notes in Computer Science. Springer International Publishing, 2022, pp. 354–371. doi: 10.1007/978-3-031-07312-0_18. url: https://doi.org/10.1007%2F978-3-031-07312-0_18. [CrossRef] [Google Scholar]
  2. Vitor R. Coluci, Fabio Andrijauskas, and Sócrates O. Dantas. “8 - Modeling thermal conductivity with Green’s function molecular dynamics simulations”. In: Modeling, Characterization, and Production of Nanomaterials (Second Edition). Ed. by Vinod K. Tewary and Yong Zhang. Second Edition. Woodhead Publishing Series in Electronic and Optical Materials. Woodhead Publishing, 2023, pp. 171–187. isbn: 978-0-12-819905-3. doi: https://doi.org/10.1016/B978-0-12-819905-3.00008-7. url: https://www.sciencedirect.com/science/article/pii/B9780128199053000087. [CrossRef] [Google Scholar]
  3. CRIU. CRIU. 1999. url: https://criu.org/Docker (visited on 05/07/2023). [Google Scholar]
  4. CRIU. CRIU. 2018. url: https : / / github. com / checkpoint - restore / criu / issues / 534 (visited on 05/07/2023). [Google Scholar]
  5. Adrian Reber - GitHub. CRIU non-root. 1999. url: https://github.com/adrianreber/criu/tree/non-root (visited on 05/07/2023). [Google Scholar]
  6. The Open Science Grid Executive Board on behalf of the Osg Consortium:Ruth Pordes et al. “The open science grid”. In: Journal of Physics: Conference Series 78.1 (July 2007), p. 012057. doi: 10.1088/1742-6596/78/1/012057. url: https://dx.doi.org/10. 1088/1742-6596/78/1/012057. [Google Scholar]
  7. Igor Sfiligoi et al. “The Pilot Way to Grid Resources Using glideinWMS”. In: 2009 WRI World Congress on Computer Science and Information Engineering. Vol. 2. 2009, pp. 428–432. doi: 10.1109/CSIE.2009.950. [CrossRef] [Google Scholar]
  8. Aidan P Thompson et al. “LAMMPS - a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales”. In: Computer Physics Communications 271 (2022), p. 108171. issn: 0010-4655. doi: https://doi.org/10.1016/j.cpc.2021.108171. url: https://www.sciencedirect.com/science/article/pii/S0010465521002836. [CrossRef] [Google Scholar]
  9. Ranjan Sarpangala Venkatesh et al. “Fast In-Memory CRIU for Docker Containers”. In: Proceedings of the International Symposium on Memory Systems. MEMSYS ’19. Washington, District of Columbia, USA: Association for Computing Machinery, 2019, pp. 53–65. isbn: 9781450372060. doi: 10.1145/3357526.3357542. url: https://doi.org/10.1145/3357526.3357542. [Google Scholar]
  10. Derek Weitzel et al. “Data Access for LIGO on the OSG”. In: Proceedings of the Practice and Experience in Advanced Research Computing 2017 on Sustainability, Success and Impact. PEARC17. New Orleans, LA, USA: Association for Computing Machinery, 2017. isbn: 9781450352727. doi: 10.1145/3093338.3093363. url: https://doi.org/10.1145/3093338.3093363. [Google Scholar]
  11. Adityas Widjajarto, Deden Witarsyah Jacob, and Muharman Lubis. “Live migration using checkpoint and restore in userspace (CRIU): Usage analysis of network, memory and CPU”. In: Bulletin of Electrical Engineering and Informatics 10.2 (2021), pp. 837–847. [CrossRef] [Google Scholar]

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