Unlocking the power of mist computing through clustering techniques in IoT networks

E Fazel, HE Najafabadi, M Rezaei, H Leung - Internet of Things, 2023 - Elsevier
Fog computing allows the implementation of information processes on the native net, mainly
because of its ability to process in real-time. On the other hand, the principles of Mist …

A security-and privacy-preserving approach based on data disturbance for collaborative edge computing in social IoT systems

P Zhang, Y Wang, N Kumar, C Jiang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The Internet of things (IoT) has certainly become one of the hottest technology frameworks of
the year. It is deep in many industries, affecting people's lives in all directions. The rapid …

Stream processing on clustered edge devices

R Dautov, S Distefano - IEEE Transactions on Cloud …, 2020 - ieeexplore.ieee.org
The Internet of Things continuously generates avalanches of raw sensor data to be
transferred to the Cloud for processing and storage. Due to network latency and limited …

Machine learning for fatigue detection using Fitbit fitness trackers

EJ Husom, R Dautov… - Proceedings of the …, 2022 - sintef.brage.unit.no
Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related
incidents. Fatigue detection has been traditionally performed in lab conditions with …

Container‐based data‐intensive application scheduling in hybrid cloud‐edge collaborative environment

B Tang, J Luo, J Zhang - Software: Practice and Experience, 2024 - Wiley Online Library
Container virtualization technology represented by Docker has been widely used in the
industry due to its advantages of lightweight, fast deployment, and easy portability. It can …

An Evolutionary Algorithm for Task Clustering and Scheduling in IoT Edge Computing

A Yousif, MB Bashir, A Ali - Mathematics, 2024 - mdpi.com
The Internet of Things (IoT) edge is an emerging technology of sensors and devices that
communicate real-time data to a network. IoT edge computing was introduced to handle the …

A Review of Computational Load-Balancing for Mobile Edge Computing

M Wilson, H Nunoo-Mensah, KO Boateng - Science and Information …, 2023 - Springer
Living and working smarter is becoming the new trend, and this is primarily made possible
by the growth in the number of connected internet of things (IoT) devices globally. IoT's …

A high-performance dataflow-centric optimization framework for deep learning inference on the edge

R Zhang, H Jiang, J Geng, F Tian, Y Ma… - Journal of Systems …, 2024 - Elsevier
Edge computing has been emerging as a popular scenario for model inference. However,
the inference performance on edge devices (eg, Multi-Core DSP, FGPA, etc.) suffers from …

Raft Protocol for Fault Tolerance and Self-Recovery in Federated Learning

R Dautov, EJ Husom - Proceedings of the 19th International Symposium …, 2024 - dl.acm.org
Federated Learning (FL) has emerged as a decentralised machine learning paradigm for
distributed systems, particularly in edge and IoT environments. However, ensuring fault …

[PDF][PDF] Implementation of Real Time Data Collection Process Automation Control Using IIoT Applications

S Howimanporn, S Chookaew… - … of Advances in …, 2022 - pdfs.semanticscholar.org
There is an ongoing debate between PLC and PC-based controls, and the chances are that
process will benefit from integrating industrial data collection with IT. However, choosing to …