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Authors: Alina Corso-Radu 1 ; Raul Murillo Garcia 1 ; Andrei Kazarov 2 ; Giovanna Lehmann Miotto 2 ; Luca Magnoni 2 and John Erik Sloper 2

Affiliations: 1 University of California, United States ; 2 CERN, Russian Federation

Keyword(s): Controls, Expert-system, Knowledge, Verification, Testing, Recovery, ATLAS.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Expert Systems ; Health Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Symbolic Systems

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. (More)

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Paper citation in several formats:
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; ISSN 2184-2833, SciTePress, pages 512-516. DOI: 10.5220/0003008605120516

@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},
issn={2184-2833},
}

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
IS - 2184-2833
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
PB - SciTePress