EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||8|
|Section||1 - Online and Real-time Computing|
|Published online||16 November 2020|
DAQling: an open-source data acquisition framework
CERN, Geneva, Switzerland
2 INFN Torino, Torino, Italy
3 University of Torino, Torino, Italy
4 Warsaw University of Technology, Warsaw, Poland
* e-mail: firstname.lastname@example.org
Published online: 16 November 2020
The Data AcQuisition (DAQ) software for most applications in high energy physics is composed of common building blocks, such as a networking layer, plug-in loading, configuration, and process management. These are often re-invented and developed from scratch for each project or experiment around specific needs. In some cases, time and available resources can be limited and make development requirements difficult or impossible to meet. Moved by these premises, our team developed an open-source lightweight C++ software framework called DAQling, to be used as the core for the DAQ systems of small and medium-sized experiments and collaborations. The framework offers a complete DAQ ecosystem, including a communication layer based on the widespread ZeroMQ messaging library, configuration management based on the JSON format, control of distributed applications, extendable operational monitoring with web-based visualisation, and a set of generic utilities. The framework comes with minimal dependencies, and provides automated host and build environment setup based on the Ansible automation tool. Finally, the end-user code is wrapped in so-called “Modules”, that can be loaded at configuration time, and implement specific roles. Several collaborations already chose DAQling as the core for their DAQ systems, such as FASER, RD51, and NA61/SHINE. We will present the framework and project-specific implementations and experiences.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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