A survey on task offloading in multi-access edge computing

A Islam, A Debnath, M Ghose, S Chakraborty - Journal of Systems …, 2021 - Elsevier
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

[HTML][HTML] A comprehensive survey of energy-efficient computing to enable sustainable massive IoT networks

MH Alsharif, AH Kelechi, A Jahid… - Alexandria Engineering …, 2024 - Elsevier
Energy efficiency is a key area of research aimed at achieving sustainable and
environmentally friendly networks. With the rise in data traffic and network congestion, IoT …

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-objective computation sharing in energy and delay constrained mobile edge computing environments

A Bozorgchenani, F Mashhadi, D Tarchi… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
In a mobile edge computing (MEC) network, mobile devices, also called edge clients, offload
their computations to multiple edge servers that provide additional computing resources …

Joint task partitioning and user association for latency minimization in mobile edge computing networks

M Feng, M Krunz, W Zhang - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising solution to support emerging delay-sensitive
mobile applications, such as self-driving, augment/virtual reality, and various Internet of …

Blockchain-aided network resource orchestration in intelligent Internet of Things

C Wang, C Jiang, J Wang, S Shen… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The proliferation of users and data traffic poses substantial pressure on resource
management in the Internet of Things (IoT). In addition to beneficially allocating scarce …

Dynamic server placement in edge computing toward internet of vehicles

B Shen, X Xu, L Qi, X Zhang, G Srivastava - Computer Communications, 2021 - Elsevier
Facing serious challenges in bandwidth and delay, currently adopted cloud computing is no
longer effective for providing real-time Internet of Vehicles (IoV) services in the intelligent …

Mobility-aware task offloading and migration schemes in fog computing networks

D Wang, Z Liu, X Wang, Y Lan - IEEE Access, 2019 - ieeexplore.ieee.org
Fog computing is an extension of cloud computing, which emphasizes distributed computing
and provides computing service closer to user equipments (UEs). However, due to the …

Energy-efficient fog computing for 6G-enabled massive IoT: Recent trends and future opportunities

UM Malik, MA Javed, S Zeadally… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Fog computing is a promising technology that can provide storage and computational
services to future 6G networks. To support the massive Internet-of-Things (IoT) applications …

Deep reinforcement learning-based resource allocation for content distribution in IoT-edge-cloud computing environments

T Cui, R Yang, C Fang, S Yu - Symmetry, 2023 - mdpi.com
With the emergence of intelligent terminals, the Internet of Vehicles (IoV) has been drawing
great attention by taking advantage of mobile communication technologies. However, high …