Author: Maxwell, D.G.
Paper Title Page
MOMPL006 Automatic Deployment in a Control System Environment 126
MOPHA074   use link to see paper's listing under its alternate paper code  
 
  • M.G. Konrad, S. Beher, A.P. Lathrop, D.G. Maxwell, J.P.H. Ryan
    FRIB, East Lansing, Michigan, USA
 
  Funding: Work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DE-SC0000661
Development of many software projects at the Facility of Rare Isotope Beams (FRIB) follows an agile development approach. An important part of this practice is to make new software versions available to users frequently to meet their changing needs during commissioning and to get feedback from them in a timely manner. However, building, testing, packaging, and deploying software manually can be a time-consuming and error-prone process. We will present processes and tools used at FRIB to standardize and automate the required steps. We will also describe our experience upgrading control system computers to a new operating system version as well as to a new EPICS release.
 
poster icon Poster MOMPL006 [3.806 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOMPL006  
About • paper received ※ 03 October 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
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MOPHA167 Cloud Computing Platform for High-level Physics Applications Development 629
 
  • T. Zhang, D.G. Maxwell
    FRIB, East Lansing, Michigan, USA
 
  Funding: Work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DESC0000661
To facilitate software development for the high-level applications on the particle accelerator, we proposed and prototyped a computing platform, so-called ’phyapps-cloud’. Based on the technology stack composed by Python, JavaScript, Docker, and Web service, such a system could greatly decouple deployment and development. That is, the users (app developers) only need to focus on the feature development by working on the infrastructure that is served by ’phyapps-cloud’, while the cloud service provider (which develop and deploy ’phyapps-cloud’) could focus on the development of the infrastructure. In this contribution, the development details will be addressed, as well as the demonstration of a simple Python script development on this platform.
 
poster icon Poster MOPHA167 [1.442 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA167  
About • paper received ※ 30 September 2019       paper accepted ※ 10 October 2019       issue date ※ 30 August 2020  
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TUCPR07 High-level Physics Controls Applications Development for FRIB 828
 
  • T. Zhang, K. Fukushima, M. Ikegami, D.G. Maxwell, P.N. Ostroumov
    FRIB, East Lansing, Michigan, USA
 
  Funding: Work supported by the U.S. Department of Energy Office of Science under Cooperative Agreement DESC0000661
For the accelerators driven by the distributed control system like EPICS, control engineers solve the problem to make the devices work, while accelerator physicists dedicate themselves to make the machine run as the physics predicted. To fill the gap between the physics high-level controls and the low-level device controls, we developed a software framework that can help the users like accelerator physicists and operators, to work well with the machine in an object-oriented way, based on which the implementations for the physics control algorithms could be very efficient, understandable and maintainable.* Meanwhile, the modularized UI widgets are developed to standardize the high-level GUI applications development, to greatly reuse the codebase and ease the development. The most important thing is all the development also apply to other EPICS based accelerators. In this contribution, the design and implementation for both interactive Python scripting controls and high-level GUIs development will be addressed.
*Tong Zhang, "Physics high-level applications and toolkit for accelerator system", EPICS Collaboration Meeting, Jun. 2018, ANL, US
 
slides icon Slides TUCPR07 [8.430 MB]  
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-TUCPR07  
About • paper received ※ 30 September 2019       paper accepted ※ 09 October 2019       issue date ※ 30 August 2020  
Export • reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)