Zero touch management: A survey of network automation solutions for 5G and 6G networks

E Coronado, R Behravesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Mobile networks are facing an unprecedented demand for high-speed connectivity
originating from novel mobile applications and services and, in general, from the adoption …

Complementing IoT services through software defined networking and edge computing: A comprehensive survey

W Rafique, L Qi, I Yaqoob, M Imran… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
Millions of sensors continuously produce and transmit data to control real-world
infrastructures using complex networks in the Internet of Things (IoT). However, IoT devices …

Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

S Azizi, M Shojafar, J Abawajy, R Buyya - Journal of network and computer …, 2022 - Elsevier
With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Task offloading in fog computing: A survey of algorithms and optimization techniques

N Kumari, A Yadav, PK Jana - Computer Networks, 2022 - Elsevier
The exponential growth in Internet of Things (IoT) devices and the limitations of cloud
computing in terms of latency and quality of service for time-sensitive applications have led …

Multi-UAV-enabled mobile-edge computing for time-constrained IoT applications

C Zhan, H Hu, Z Liu, Z Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Unmanned-aerial-vehicle (UAV)-enabled mobile-edge computing (MEC) has emerged as a
promising paradigm to extend the coverage of computation service for Internet of Things …

[HTML][HTML] A survey on deploying mobile deep learning applications: A systemic and technical perspective

Y Wang, J Wang, W Zhang, Y Zhan, S Guo… - Digital Communications …, 2022 - Elsevier
With the rapid development of mobile devices and deep learning, mobile smart applications
using deep learning technology have sprung up. It satisfies multiple needs of users, network …

Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge network

B Sellami, A Hakiri, SB Yahia - Future Generation Computer Systems, 2022 - Elsevier
Abstract The Internet-of-Things (IoT) edge allows cloud computing services for topology and
location-sensitive distributed computing. As an immediate benefit, it improves network …

Application-driven network-aware digital twin management in industrial edge environments

P Bellavista, C Giannelli, M Mamei… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The application of Internet of Things (IoT) within industrial environments is fostering the
adoption of the digital twin (DT) approach, applied at the edge of the network to handle …

A comprehensive review on Internet of Things application placement in Fog computing environment

HK Apat, R Nayak, B Sahoo - Internet of Things, 2023 - Elsevier
With the rise in Internet of Things (IoT) technology in recent years the amount of resource
requirement of various IoT applications substantially increases. The data generated by …

Towards effective offloading mechanisms in fog computing

M Sheikh Sofla, M Haghi Kashani, E Mahdipour… - Multimedia Tools and …, 2022 - Springer
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …