The emergence of edge-centric distributed IoT analytics platforms

MH ur Rehman, PP Jayaraman, C Perera - Internet of Things, 2017 - api.taylorfrancis.com
The phenomenal growth in IoT devices and systems has opened many new research
avenues (Gubbi et al., 2013). This massive growth is leading toward gigantic data …

DoSRA: A decentralized approach to online edge task scheduling and resource allocation

Q Peng, C Wu, Y Xia, Y Ma, X Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the proliferation of novel Internet of Things (IoT) mobile applications and advanced
communication technologies, nowadays we are surrounded by ubiquitous sensors and …

A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet

J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

Proactive mobile fog computing using work stealing: Data processing at the edge

S Soo, C Chang, SW Loke, SN Srirama - … : breakthroughs in research …, 2018 - igi-global.com
A common design of the Internet of Things (IoT) system relies on distant Cloud for
management and processing, which faces the challenge of latency, especially when the …

[HTML][HTML] Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT

M Ashraf, M Shiraz, A Abbasi, O Alqahtani, G Badshah… - Sensors, 2023 - mdpi.com
Fog computing extends mobile cloud computing facilities at the network edge, yielding low-
latency application execution. To supplement cloud services, computationally intensive …

Three-level hierarchical data fusion through the IoT, edge, and cloud computing

R Dautov, S Distefano - Proceedings of the 1st International Conference …, 2017 - dl.acm.org
The Internet of Things (IoT) has embraced a'vertical'off-loading model, where avalanches of
raw data generated by numerous edge devices are continuously pushed through the …

A new clustering‐based optimised energy approach for fog‐enabled IoT networks

SE Essalhi, M Raiss El Fenni, H Chafnaji - IET Networks, 2023 - Wiley Online Library
Abstract The Internet of Things (IoT) has induced many advances in the modern world, thus
always arousing great interest from the scientific community. Due to a large number of …

Partition placement and resource allocation for multiple DNN-based applications in heterogeneous IoT environments

T Kim, H Park, Y Jin, SS Lee… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The evolution of the Internet of Things (IoT) has been driving the explosive growth of deep
neural network (DNN)-based applications and processing demands. Hence, edge …

Intelligent tasks allocation at the edge based on machine learning and bio-inspired algorithms

M Soula, A Karanika, K Kolomvatsos… - Evolving Systems, 2022 - Springer
Current advances in the Internet of Things (IoT) and Cloud involve the presence of an
additional layer between them acting as mediator for data transfer and processing in close …

A fog computing framework for quality of service optimisation in the internet of things (iot) ecosystem

WT Vambe, K Sibanda - 2020 2nd International …, 2020 - ieeexplore.ieee.org
Fog computing plays a pivotal role in the Internet of Things (IoT) ecosystem because of its
ability to support delay-sensitive tasks, bringing resources from cloud servers closer to the …