APPLICATIONS OF EXPERT SYSTEM TECHNOLOGY IN THE ATLAS TDAQ CONTROLS FRAMEWORK
Alina Corso-Radu, Raul Murillo Garcia, Andrei Kazarov, Giovanna Lehmann Miotto, Luca Magnoni, John Erik Sloper
2010
Abstract
The ATLAS Trigger-DAQ system is composed of O(10000) of applications running ~1500 computers distributed over a network. To maximise the experiment run efficiency, the Trigger-DAQ control system includes advanced verification, diagnostics and complex dynamic error recovery tools, based on an expert system. The error recovery (ER) system is responsible for analysing and recovering from a variety of errors, both software and hardware, without stopping the data-gathering operations. The verification framework allows users to develop and configure tests for any component in the system with different levels of complexity. It can be used as a standalone test facility during the general TDAQ initialization procedure, and for diagnosing the problems which may occur at run time. A key role in both recovery and verification frameworks is played by the rule-based expert system, which is also known as a knowledge-based system, to analyse errors and decide on appropriate recovery actions. The system is composed of a dynamic set of rules that describe the TDAQ system behaviour and by an inference engine that takes decisions on which actions to perform. The system is currently used on a daily basis for the operation of the ATLAS experiment. The paper describes the architecture and implementation of the TDAQ error-recovery system and verification framework with emphasis on the latest developments and experience gained over the first LHC beam runs.
References
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- Kazarov, A., Corso-Radu, A., Lehmann Miotto, G., Sloper, J. E. & Ryabov, Y., 2007. A rule-based verification and control framework in ATLAS Trigger-DAQ. IEEE Transaction on Nuclear Science. 54 (2007) 604-608.
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Paper Citation
in Harvard Style
Corso-Radu A., Garcia R., Kazarov A., Lehmann Miotto G., Magnoni L. and Sloper J. (2010). APPLICATIONS OF EXPERT SYSTEM TECHNOLOGY IN THE ATLAS TDAQ CONTROLS FRAMEWORK . In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT, ISBN 978-989-8425-23-2, pages 512-516. DOI: 10.5220/0003008605120516
in Bibtex Style
@conference{icsoft10,
author={Alina Corso-Radu and Raul Murillo Garcia and Andrei Kazarov and Giovanna Lehmann Miotto and Luca Magnoni and John Erik Sloper},
title={APPLICATIONS OF EXPERT SYSTEM TECHNOLOGY IN THE ATLAS TDAQ CONTROLS FRAMEWORK},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT,},
year={2010},
pages={512-516},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003008605120516},
isbn={978-989-8425-23-2},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 2: ICSOFT,
TI - APPLICATIONS OF EXPERT SYSTEM TECHNOLOGY IN THE ATLAS TDAQ CONTROLS FRAMEWORK
SN - 978-989-8425-23-2
AU - Corso-Radu A.
AU - Garcia R.
AU - Kazarov A.
AU - Lehmann Miotto G.
AU - Magnoni L.
AU - Sloper J.
PY - 2010
SP - 512
EP - 516
DO - 10.5220/0003008605120516