Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
Resource scheduling in edge computing: Architecture, taxonomy, open issues and future research directions
The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …
centralized cloud computing toward edge computing resulting in a paradigm shift in …
Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions
With advancements of cloud technologies Multi-Access Edge Computing (MEC) emerged as
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
a remarkable edge-cloud technology to provide computing facilities to resource-restrained …
[HTML][HTML] Combining Edge Computing-Assisted Internet of Things Security with Artificial Intelligence: Applications, Challenges, and Opportunities
The integration of edge computing with IoT (EC-IoT) systems provides significant
improvements in addressing security and privacy challenges in IoT networks. This paper …
improvements in addressing security and privacy challenges in IoT networks. This paper …
[HTML][HTML] DRL-assisted delay optimized task offloading in automotive-industry 5.0 based VECNs
The rapid growth of Automotive-Industry 5.0 and its emergence with beyond fifth-generation
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
(B5G) communications, is making vehicular edge computing networks (VECNs) increasingly …
Multi-Agent Deep Reinforcement Learning-based Partial Offloading and Resource Allocation in Vehicular Edge Computing Networks
J Xue, L Wang, Q Yu, P Mao - Computer Communications, 2025 - Elsevier
The advancement of intelligent transportation systems and the increase in vehicle density
have led to a need for more efficient computation offloading in vehicular edge computing …
have led to a need for more efficient computation offloading in vehicular edge computing …
A comprehensive review on internet of things task offloading in multi-access edge computing
With the rapid development of Internet of Things (IoT) technology, Terminal Devices (TDs)
are more inclined to offload computing tasks to higher-performance computing servers …
are more inclined to offload computing tasks to higher-performance computing servers …
DynNetSLAM: Dynamic visual SLAM network offloading
Existing Visual Simultaneous Localization And Map** (vSLAM) approaches that offload
the complex self-localization computations from mobile robots over a wireless network to …
the complex self-localization computations from mobile robots over a wireless network to …
[HTML][HTML] Energy-efficient task offloading in fog computing for 5G cellular network
The proliferation of IoT devices has introduced challenges, including high delay, increased
energy consumption, and heavy load. This paper proposes a new energy-aware task …
energy consumption, and heavy load. This paper proposes a new energy-aware task …
Machine scheduling with restricted rejection: An Application to task offloading in cloud–edge collaborative computing
With the burgeoning of the Internet of everything, the amount of data generated by edge
devices increases dramatically. In order to relieve the huge pressure of the could computing …
devices increases dramatically. In order to relieve the huge pressure of the could computing …