Fault Detection and Co-design Recovery for Complex Task within IoT Systems

Radia Bendimerad, Kamel Smiri, Abderrazek Jemai

2020

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 impacting system performances thanks to the contributions defined in this paper.

Paper Citation

in Harvard Style

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

in Bibtex Style

@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},
}

in EndNote Style

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