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Authors: Anca Hangan ; Gheorghe Sebestyen and Lucia Vacariu

Affiliation: Technical University of Cluj Napoca, Romania

Keyword(s): Real-time Scheduling, Optimization, Genetic Algorithm, Multiprocessor Systems, Real-time Transactions.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Evolutionary Computing ; Genetic Algorithms ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Soft Computing

Abstract: The paper presents an optimization-based technique that enhances the schedulability of real-time transactional multiprocessor systems. The technique addresses two important aspects: task allocation and task deadline assignment. In order to satisfy real-time restrictions we combine genetic search and simulation to fine tune the system’s configuration. To reduce the solution search space, we propose a hybrid technique for finding feasible scheduling solutions. We determine task deadlines through a heuristic and then use the optimization-based approach to find a solution for task allocation to processors. We evaluate the performance of the proposed techniques by using automatically generated transaction sets. Finally, we compare the optimization-based technique with related work and we analyze the results.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Hangan, A.; Sebestyen, G. and Vacariu, L. (2014). Multiprocessor Real-time Scheduling Using an Optimization-based Technique. In Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA; ISBN 978-989-758-052-9, SciTePress, pages 236-243. DOI: 10.5220/0005076202360243

@conference{ecta14,
author={Anca Hangan. and Gheorghe Sebestyen. and Lucia Vacariu.},
title={Multiprocessor Real-time Scheduling Using an Optimization-based Technique},
booktitle={Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA},
year={2014},
pages={236-243},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005076202360243},
isbn={978-989-758-052-9},
}

TY - CONF

JO - Proceedings of the International Conference on Evolutionary Computation Theory and Applications (IJCCI 2014) - ECTA
TI - Multiprocessor Real-time Scheduling Using an Optimization-based Technique
SN - 978-989-758-052-9
AU - Hangan, A.
AU - Sebestyen, G.
AU - Vacariu, L.
PY - 2014
SP - 236
EP - 243
DO - 10.5220/0005076202360243
PB - SciTePress