Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/9375
Title: Development of distributed data acquisition system
Authors: Losper, Bertram 
Balyan, Vipin 
Groenewald, B. 
Keywords: Python;confluent;kafka;DAQ;VME;dolosse;FPGA
Issue Date: 2022
Publisher: Springer International Publishing AG
Source: Losper, B., Balyan, V. & Groenewald, B. 2022. Development of Distributed Data Acquisition System. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2021. Lecture Notes in Networks and Systems, vol 371. Springer, Cham. https://doi.org/10.1007/978-3-030-93247-3_82
Conference: International Conference on Intelligent Computing & Optimization 
Abstract: Home Intelligent Computing & Optimization Conference paper Development of Distributed Data Acquisition System Bertram Losper, Vipin Balyan & B. Groenewald Conference paper First Online: 01 January 2022 992 Accesses 1 Citations Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 371) Abstract This paper discusses the evaluation of using streaming technologies as an external memory buffer for use in Physics data acquisition systems. It will show the development of a prototype distributed readout software system for an experimental facility at iThemba LABS. This work builds on an ongoing project known as the Dolosse Data Acquisition System and will focus on the development of a new distributed data acquisition readout software on the readout computer that is based on the project’s architecture. A new fragmented readout method is proposed to allow efficient data transmission using the open-source stream-processing software platform that can be used as an external memory buffer while still maintaining the real-time requirements of the system.
URI: http://hdl.handle.net/11189/9375
ISBN: 978-3-030-93246-6
978-3-030-93247-3
ISSN: 2367-3370
2367-3389
DOI: https://doi.org/10.1007/978-3-030-93247-3_82
Appears in Collections:Eng - Books / Book Chapters

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