A survey on computation offloading modeling for edge computing

H Lin, S Zeadally, Z Chen, H Labiod, L Wang - Journal of Network and …, 2020 - Elsevier
As a promising technology, edge computing extends computation, communication, and
storage facilities toward the edge of a network. This new computing paradigm opens up new …

Delay-aware and energy-efficient computation offloading in mobile-edge computing using deep reinforcement learning

L Ale, N Zhang, X Fang, X Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Internet of Things (IoT) is considered as the enabling platform for a variety of promising
applications, such as smart transportation and smart city, where massive devices are …

Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey

H Chen, W Qin, L Wang - Journal of Cloud Computing, 2022 - Springer
Abstract Internet of Things (IoT) is made up with growing number of facilities, which are
digitalized to have sensing, networking and computing capabilities. Traditionally, the large …

MESON: A mobility-aware dependent task offloading scheme for urban vehicular edge computing

L Zhao, E Zhang, S Wan, A Hawbani… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …

Online optimal service selection, resource allocation and task offloading for multi-access edge computing: A utility-based approach

W Chu, P Yu, Z Yu, JCS Lui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …

Cloud resource scheduling with deep reinforcement learning and imitation learning

W Guo, W Tian, Y Ye, L Xu, K Wu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
The cloud resource management belongs to the category of combinatorial optimization
problems, most of which have been proven to be NP-hard. In recent years, reinforcement …

MR-DRO: A fast and efficient task offloading algorithm in heterogeneous edge/cloud computing environments

Z Zhang, N Wang, H Wu, C Tang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the rapid development of Internet of Things (IoT) and next-generation communication
technologies, resource-constrained mobile devices (MDs) fail to meet the demand of …

Edge computing and its role in Industrial Internet: Methodologies, applications, and future directions

T Zhang, Y Li, CLP Chen - Information Sciences, 2021 - Elsevier
Abstract Proliferation of Industrial Internet has dramatically changed the way we live and
work. It brings convenience to our society and sometimes requires real-time processing of …

Improved double deep Q network-based task scheduling algorithm in edge computing for Makespan optimization

L Zeng, Q Liu, S Shen, X Liu - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
Edge computing nodes undertake an increasing number of tasks with the rise of business
density. Therefore, how to efficiently allocate large-scale and dynamic workloads to edge …

DroneCOCoNet: Learning-based edge computation offloading and control networking for drone video analytics

C Qu, P Calyam, J Yu, A Vandanapu… - Future Generation …, 2021 - Elsevier
Abstract Multi-Unmanned Aerial Vehicle (UAV) systems with high-resolution cameras have
been found useful for operations such as smart city and disaster management. These …