| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 01033 | |
| Number of page(s) | 8 | |
| Section | 1 - Online and Real-time Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024501033 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024501033
AliECS: a New Experiment Control System for the ALICE Experiment
CERN, Geneva, Switzerland
* e-mail: teo.m@cern.ch
** e-mail: kostas.alexopoulos@cern.ch
*** e-mail: vmcb@cern.ch
**** e-mail: george.raduta@cern.ch
Published online: 16 November 2020
The ALICE Experiment at CERN’s Large Hadron Collider (LHC) is undertaking a major upgrade during LHC Long Shutdown 2 in 2019-2021, which includes a new computing system called O2 (Online-Offline). To ensure the efficient operation of the upgraded experiment and of its newly designed computing system, a reliable, high performance, and automated experiment control system is being developed. The ALICE Experiment Control System (AliECS) is a distributed system based on state of the art cluster management and microservices that have recently emerged in the distributed computing ecosystem. Such technologies will allow the ALICE collaboration to benefit from a vibrant and innovating open source community. This communication describes the AliECS architecture. It provides an in-depth overview of the system’s components, features, and design elements, as well as its performance. It also reports on the experience with AliECS as part of ALICE Run 3 detector commissioning setups.
© 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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