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Authors: Radia Bendimerad 1 ; Kamel Smiri 2 and Abderrazek Jemai 3

Affiliations: 1 Université de Tunis El Manar, Faculté des Sciences de Tunis, Laboratoire LIP2, 2092, Tunis, Tunisie ; 2 Université de Carthage, Ecole Polytechnique de Tunisie, Laboratoire SERCOM, ISAM, 2010, Manouba, Tunisie ; 3 Université de Carthage, Ecole Polytechnique de Tunisie, Laboratoire SERCOM, INSAT, 1080, Tunis, Tunisie

ISBN: 978-989-758-443-5

Keyword(s): Internet of Things (IoT), Complex Task, Sub-task, Fault Detection, Co-design Recovery.

Abstract: Internet of things (IoT) allows the implementation of embedded devices that guarantee multiple application processing. A device contains a processor core (CPU) but also hardware accelerator (FPGA) to permit a hardware-software (HW-SW) partitioning depending on its complexity. However, these devices have limited capacities, so they are exposed to faults. Thus, the system needs to be adapted in such a way to detect device faults, continues to function normally and perform tasks to produce correct output. In this paper, a holistic approach dealing with fault detection and recovery for complex tasks within the IoT was outlined. It offers a technique to diagnose the state of processing elements. Then it combines task scheduling in HW and SW parts (Co-design) in such a manner to ease the process of recovery when a system fault is detected. The proposed work ensures a better performance for the entire system. An experimental study validates the effectiveness of the present strategy without i mpacting system performances thanks to the contributions defined in this paper. (More)

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Paper citation in several formats:
Bendimerad, R.; Smiri, K. and Jemai, A. (2020). Fault Detection and Co-design Recovery for Complex Task within IoT Systems.In Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-443-5, pages 484-491. DOI: 10.5220/0009869304840491

@conference{icsoft20,
author={Radia Bendimerad. and Kamel Smiri. and Abderrazek Jemai.},
title={Fault Detection and Co-design Recovery for Complex Task within IoT Systems},
booktitle={Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2020},
pages={484-491},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009869304840491},
isbn={978-989-758-443-5},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - Fault Detection and Co-design Recovery for Complex Task within IoT Systems
SN - 978-989-758-443-5
AU - Bendimerad, R.
AU - Smiri, K.
AU - Jemai, A.
PY - 2020
SP - 484
EP - 491
DO - 10.5220/0009869304840491

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