Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

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 …

Artificial intelligence for edge service optimization in internet of vehicles: A survey

X Xu, H Li, W Xu, Z Liu, L Yao… - Tsinghua Science and …, 2021 - ieeexplore.ieee.org
The Internet of Vehicles (IoV) plays a crucial role in providing diversified services because of
its powerful capability of collecting real-time information. Generally, collected information is …

Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing

H Zhou, K Jiang, X Liu, X Li… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a promising computing paradigm in the 5G
architecture, which can empower user equipments (UEs) with computation and energy …

Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond

Y Dai, K Zhang, S Maharjan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
5G beyond is an end-edge-cloud orchestrated network that can exploit heterogeneous
capabilities of the end devices, edge servers, and the cloud and thus has the potential to …

Multi-agent deep reinforcement learning for computation offloading and interference coordination in small cell networks

X Huang, S Leng, S Maharjan… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integrating mobile edge computing (MEC) with small cell networks has been conceived as a
promising solution to provide pervasive computing services. However, the interactions …

A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective

A Shakarami, M Ghobaei-Arani, M Masdari… - Journal of Grid …, 2020 - Springer
Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …

Latency-aware IoT service provisioning in UAV-aided mobile-edge computing networks

L Zhang, N Ansari - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Advances in wireless communications are empowering the emerging Internet-of-Things
(IoT) applications and services with billions of connected devices. Mobile-edge computing …

NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things

L Qian, Y Wu, F Jiang, N Yu, W Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …

FRATO: Fog resource based adaptive task offloading for delay-minimizing IoT service provisioning

H Tran-Dang, DS Kim - IEEE Transactions on Parallel and …, 2021 - ieeexplore.ieee.org
In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …