Performance management in clustered edge architectures using particle swarm optimization

S Azimi, C Pahl, MH Shirvani - … 2020, Prague, Czech Republic, May 7–9 …, 2021 - Springer
Recently distributed computing capacities are brought to the edge of the Internet, permitting
Internet-of-Things applications to process calculation all the more locally and subsequently …

[HTML][HTML] Optimizing data processing for edge-enabled IoT devices using deep learning based heterogeneous data clustering approach

M Sudhakar, KR Anne - Measurement: Sensors, 2024 - Elsevier
Edge-based Internet of Things devices have transformed smart farming, aiding in efficient
data collection and processing for optimal resource utilization and crop yields. However …

The hive: An edge-based middleware solution for resource sharing in the internet of things

A Essameldin, KA Harras - Proceedings of the 3rd Workshop on …, 2017 - dl.acm.org
With today's unprecedented proliferation in smart-devices, the Internet of Things Vision has
become more of a reality than ever. With the extreme diversity of applications running on …

Cloud of things (CoT): Cloud-fog-IoT task offloading for sustainable Internet of Things

M Aazam, S ul Islam, ST Lone… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With a high rise in the popularity of Internet of Things (IoT), mobile computing, and wearable
devices, a huge amount of data is being generated. Running complex tasks such as that are …

Clustering of mobile IoT nodes with support for scheduling of time-sensitive applications in fog and cloud layers

N Akhound, S Adabi, A Rezaee, AM Rahmani - Cluster Computing, 2022 - Springer
Fog computing is widely used as a mediation layer to fill the gap between Internet of Things
(IoT) nodes and cloud datacenters. The fog layer can provide higher availability and better …

[HTML][HTML] FaaS for IoT: Evolving Serverless towards Deviceless in I/Oclouds

G Merlino, G Tricomi, L D'agati, Z Benomar… - Future Generation …, 2024 - Elsevier
The burgeoning paradigms of Fog and Edge computing propose delegating Cloud-related
tasks to the network's periphery, thus placing computational resources closer to data …

[HTML][HTML] Resource-aware multi-task offloading and dependency-aware scheduling for integrated edge-enabled IoV

U Awada, J Zhang, S Chen, S Li, S Yang - Journal of Systems Architecture, 2023 - Elsevier
Abstract Internet of Vehicles (IoV) enables a wealth of modern vehicular applications, such
as pedestrian detection, real-time video analytics, etc., that can help to improve traffic …

Towards Multi-Modal Deep Learning-Assisted Task Offloading for Consumer Electronic Devices Over An IoT-Fog Architecture

SS Tripathy, S Bebortta, MI ul Haque… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Internet of Things (IoT) devices along with associated software have proliferated at an
unprecedented pace, presenting the challenge of high energy use combined with latency …

Resource management in edge and fog computing using FogBus2 framework

M Goudarzi, Q Deng, R Buyya - arXiv preprint arXiv:2108.00591, 2021 - arxiv.org
Edge/Fog computing is a novel computing paradigm that provides resource-limited Internet
of Things (IoT) devices with scalable computing and storage resources. Compared to cloud …

Scalable IoT platform for heterogeneous devices in smart environments

A Javed, A Malhi, T Kinnunen, K Främling - IEEe Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) is envisioned as a ubiquitous computing infrastructure in which
everything becomes connected, enabling gigantic information exchange among Things and …