ICALEPCS2019 - List of Authors (Vasquez, J.A.)

Paper	Title	Page
MOPHA154	Data Acquisition System Deployment Using Docker Containers for the SMuRF Project	597
	J.A. Vásquez SLAC, Menlo Park, California, USA
	The SLAC Microresonator Radio Frequency (SMuRF) system is being developed as a readout system for next generation Cosmic Microwave Background (CMB) cameras. It is based on a FPGA board where the real-time digital processing algorithms are implemented, and high-level applications running in an industrial PC. The software for this project is based on C++ and Python and it is in active development. The software follows the client-server model where the server implements the low-level communication with the FGPA while high-level applications and data processing algorithms run on the client. SMuRF systems are being deployed in several institutions and in order to facilitate the management of the software application releases, dockers containers are being used. Docker images, for both servers and clients, contain all the software packages and configurations needed for their use. The images are tested, tagged, and published in one place. They can then be deployed in all other institutions in minutes with no extra dependencies. This paper describes how the docker images are designed and build, and how continuous integration tools are used in their release cycle for this project. arXiv:1809.03689 [astro-ph.IM]
	Poster MOPHA154 [2.189 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA154
About •	paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Data Acquisition System Deployment Using Docker Containers for the SMuRF Project

597

J.A. Vásquez
SLAC, Menlo Park, California, USA

The SLAC Microresonator Radio Frequency (SMuRF) system is being developed as a readout system for next generation Cosmic Microwave Background (CMB) cameras*. It is based on a FPGA board where the real-time digital processing algorithms are implemented, and high-level applications running in an industrial PC. The software for this project is based on C++ and Python and it is in active development. The software follows the client-server model where the server implements the low-level communication with the FGPA while high-level applications and data processing algorithms run on the client. SMuRF systems are being deployed in several institutions and in order to facilitate the management of the software application releases, dockers containers are being used. Docker images, for both servers and clients, contain all the software packages and configurations needed for their use. The images are tested, tagged, and published in one place. They can then be deployed in all other institutions in minutes with no extra dependencies. This paper describes how the docker images are designed and build, and how continuous integration tools are used in their release cycle for this project.
*arXiv:1809.03689 [astro-ph.IM]

Poster MOPHA154 [2.189 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA154

About •

paper received ※ 27 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)