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Authors: Oliver Gerlach ; Florian Frick ; Armin Lechler and Alexander Verl

Affiliation: University of Stuttgart, Germany

ISBN: 978-989-758-274-5

Keyword(s): Ant Colony Optimization, Parallelization, Industrial Control System, Real-time System, Multi-core.

Abstract: The emerging digitalization of production is accelerating the transformation of Industrial Control Systems (ICSs) from simple logic controllers to sophisticated systems utilizing complex algorithms which are running under strict real-time conditions. The required performance has now reached the limitations of single-core processors, making a transition to multi-core systems necessary. The parallelization of the currently monolithic and sequentially designed control algorithms is a complex problem that is further complicated by inherent hardware dependencies and real-time requirements. A fine-grained distribution of the algorithms on multiple cores while maintaining deterministic behavior is required but cannot be achieved with state of the art parallelization and scheduling algorithms. This paper presents a new parallelization approach for mapping and scheduling of model-based designs of control algorithms onto ICSs. Since the mapping and scheduling problem is NP-complete, an ACO algo rithm is utilized and the solution is validated by experimental results. (More)

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Paper citation in several formats:
Gerlach, O.; Frick, F.; Lechler, A. and Verl, A. (2017). Parallelization of Real-time Control Algorithms on Multi-core Architectures using Ant Colony Optimization.In Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI, ISBN 978-989-758-274-5, pages 192-199. DOI: 10.5220/0006489701920199

@conference{ijcci17,
author={Oliver Gerlach. and Florian Frick. and Armin Lechler. and Alexander Verl.},
title={Parallelization of Real-time Control Algorithms on Multi-core Architectures using Ant Colony Optimization},
booktitle={Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,},
year={2017},
pages={192-199},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006489701920199},
isbn={978-989-758-274-5},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Computational Intelligence - Volume 1: IJCCI,
TI - Parallelization of Real-time Control Algorithms on Multi-core Architectures using Ant Colony Optimization
SN - 978-989-758-274-5
AU - Gerlach, O.
AU - Frick, F.
AU - Lechler, A.
AU - Verl, A.
PY - 2017
SP - 192
EP - 199
DO - 10.5220/0006489701920199

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