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URLhttps://doi.org/10.18429/JACoW-ICALEPCS2025-TUMR001
TitleA shared virtual machine framework for EPICS hands-on training
Authors
  • R. Lange
    ITER Organization
  • G. Knap
    Diamond Light Source
  • K. Shroff
    Brookhaven National Laboratory
AbstractFacilities relying on collaboratively developed software projects, like the Experimental Physics and Industrial Control System (EPICS), often face challenges in ensuring consistent skill levels and efficient onboarding of staff. This paper introduces a new framework for creating reproducible pre-configured virtual machine (VM) environments, specifically designed for hands-on EPICS training. A key benefit of this framework is its ability to establish shared, reusable, general training modules. Such shared resources are highly valuable for collaborations, as they provide a standardized platform for skill development, reduce redundant training efforts, cultivate a common understanding of EPICS mechanisms, and ultimately strengthen collective knowledge within and across institutions.
Paperdownload: TUMR001.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference20th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'25)
Series
LocationChicago, IL, USA
Date20-26 Sep 2025
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardKent Wootton (ANL), Jeffery Biss (FNAL), Gustavo Bruno (ANL), Jeff Kirchman (ANL), Kelly Jaje (ANL), Denise Skiadopoulos (ANL), SuYin Grass Wang (ANL)
Online ISBN978-3-95450-255-4
Online ISSN2226-0358
Received06 September 2025
Revised21 September 2025
Accepted30 October 2025
Issued25 November 2025
DOI10.18429/JACoW-ICALEPCS2025-TUMR001
Pages419-422