Joint UAV trajectory planning, DAG task scheduling, and service function deployment based on DRL in UAV-empowered edge computing

X Wei, L Cai, N Wei, P Zou, J Zhang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV)-empowered edge computing has been widely investigated
in obstacle-free scenarios, where a moving UAV is in charge of handling offloaded singleton …

Low-complexity and efficient dependent subtask offloading strategy in IoT integrated with multi-access edge computing

H Wang, W Li, J Sun, L Zhao, X Wang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC) has been booming in recent years, as it promises to
fulfill the growing low-latency requirements of applications on large amounts of Internet of …

Auction-based dependent task offloading for IoT users in edge clouds

J Liu, Y Zhang, J Ren, Y Zhang - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The rapid proliferation of latency-sensitive Internet of Things (IoT) applications boosts the
frequency of offloading compute-intensive tasks from IoT users to mobile edge computing …

Prioritized assignment with task dependency in collaborative mobile edge computing

Q Cai, Y Zhou, L Liu, Y Qi, J Shi - IEEE Transactions on Mobile …, 2024 - ieeexplore.ieee.org
Collaborative mobile edge computing enables resource-constrained edge facilities to work
cooperatively for computation-intensive tasks. However, as the number of tasks demanded …

Joint scheduling and offloading of computational tasks with time dependency under edge computing networks

M Wang, Y Zhang, X He, S Yu - Simulation Modelling Practice and Theory, 2023 - Elsevier
Mobile edge computing is an emerging technology paradigm that improves mobile devices'
computational power and efficiency by offloading computational tasks to edge servers …

Dependency-aware vehicular task scheduling policy for tracking service VEC networks

C Li, F Liu, B Wang, CLP Chen, X Tang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In this paper, we study a tracking service vehicular edge computing (VEC) network that
provides computation offloading service for Intelligent vehicles, where computational tasks …

DAG-based dependent tasks offloading in MEC-enabled IoT with soft cooperation

X Zhou, S Ge, P Liu, T Qiu - IEEE Transactions on Mobile …, 2023 - ieeexplore.ieee.org
Multi-access edge computing (MEC)-enabled Internet of Things (IoT) has become a
powerful solution to run computation-intensive applications on end devices. These …

A3c-based and dependency-aware computation offloading and service caching in digital twin edge networks

L Chen, Q Gu, K Jiang, L Zhao - IEEE Access, 2023 - ieeexplore.ieee.org
The combination of Mobile Edge Computing (MEC) and Digital Twin (DT) is anticipated to
enhance the quality of mobile application services in the 6G era. However, current research …

Mobility and dependency-aware task offloading for intelligent assisted driving in vehicular edge computing networks

Y Li, C Yang, X Chen, Y Liu - Vehicular Communications, 2024 - Elsevier
Intelligent assisted driving is an important application in vehicular edge computing networks
(VECNs). In the intelligent transportation system (ITS), a group of moving vehicle users need …

MCVCO: Multi-MEC cooperative vehicular computation offloading

J Liu, K Xue, Q Miao, S Li, X Cui… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) has been envisioned as a promising paradigm that provides
processing resources for vehicular computation-intensive tasks to accommodate the strict …