An integration of autonomic computing with multicore systems for performance optimization in Industrial Internet of Things
The goal of this work is to investigate how the self‐awareness characteristic of autonomic
computing, paired with existing performance optimization rules, may be used in applications …
computing, paired with existing performance optimization rules, may be used in applications …
Adaptive scheduling for time-triggered network-on-chip-based multi-core architecture using genetic algorithm
P Muoka, D Onwuchekwa, R Obermaisser - Electronics, 2021 - mdpi.com
Adaptation in time-triggered systems can be motivated by energy efficiency, fault recovery,
and changing environmental conditions. Adaptation in time-triggered systems is achieved by …
and changing environmental conditions. Adaptation in time-triggered systems is achieved by …
Metascheduling using discrete particle swarm optimization for fault tolerance in time-triggered iot-wsn
H Baniabdelghany, R Obermaisser… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In time-triggered (TT) systems, adaptation is performed by using metascheduling
approaches to ensure temporal predictability. Wireless sensor networks (WSNs) are growing …
approaches to ensure temporal predictability. Wireless sensor networks (WSNs) are growing …
Ai-based scheduling for adaptive time-triggered networks
C Lua, D Onwuchekwa… - 2022 11th Mediterranean …, 2022 - ieeexplore.ieee.org
Time-triggered systems are ideal for safety-critical systems due to the inherent determinism
and better fault tolerance. However, the current trend of adaptation in time-triggered systems …
and better fault tolerance. However, the current trend of adaptation in time-triggered systems …
Kirett-a wearable device to support rescue operations using artificial intelligence to improve first aid
This short paper presents first steps in the scientific part of the KIRETT project, which aims to
improve first aid during rescue operations using a wearable device. The wearable is used …
improve first aid during rescue operations using a wearable device. The wearable is used …
Graph neural networks based meta-scheduling in adaptive time-triggered systems
S Alshaer, C Lua, P Muoka… - 2022 IEEE 27th …, 2022 - ieeexplore.ieee.org
Meta-scheduling algorithms are used for adaptation in time-triggered systems as they adapt
to different scenarios such as failures or different environmental conditions. Most meta …
to different scenarios such as failures or different environmental conditions. Most meta …
时间触发网络的重构策略研究与实现
高杨, 李浩若, 王彤, 何锋 - Electronics Optics & Control, 2020 - opticsjournal.net
摘要航空电子系统规模和复杂度的迅速增长, 对时间触发网络的容错能力和可靠性提出了更高的
要求. 重构作为故障处理的一项重要技术, 可以提高系统的容错能力和可靠性 …
要求. 重构作为故障处理的一项重要技术, 可以提高系统的容错能力和可靠性 …
Evaluation of AI-based Meta-scheduling Approaches for Adaptive Time-triggered System
D Onwuchekwa, M Dasandhi, S Alshaer… - … on Smart Computing …, 2023 - ieeexplore.ieee.org
Adaptation in time-triggered systems is motivated by the need to attain higher energy
efficiency, carry out fault recovery functions, and adapt to changing environmental …
efficiency, carry out fault recovery functions, and adapt to changing environmental …
Model Comparative Analysis of Neighborhood Aggregation Levels in Graph Neural Networks for Metaschedulers
S Alshaer, M Piridi… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
In Time-Triggered Systems (TTS), meta-scheduling algorithms are crucial for adjusting to
situations that necessitate rescheduling, including hardware malfunctions and changes in …
situations that necessitate rescheduling, including hardware malfunctions and changes in …
Scenario-based meta-scheduling for energy-efficient, robust and adaptive time-triggered multi-core architectures
B Sorkhpour - 2019 - dspace.ub.uni-siegen.de
Complex electronic systems are used in many safety-critical applications (eg, aerospace,
automotive, nuclear stations), for which certification standards demand the use of assured …
automotive, nuclear stations), for which certification standards demand the use of assured …