Task offloading based on edge collaboration in MEC-enabled IoV networks

T Deng, Y Chen, G Chen, M Yang… - … of Communications and …, 2023 - ieeexplore.ieee.org
Benefiting from its abundant computing resources and low computing latency, mobile edge
computing (MEC) is a promising approach for enhancing the computing capacity of the 5G …

[PDF][PDF] Cloud-edge intelligence: Status quo and future prospective of edge computing approaches and applications in power system operation and control

B Yu-Yang, H Yan-Hao, C Si-Yuan, Z Jun… - Acta Automatica …, 2020 - aas.net.cn
In this paper, the current challenges faced by China′ s power grid are analyzed, and the
corresponding developmental background and key techniques of edge computing are …

Efficient Network Slicing for 5G Services in Cloud Fog-RAN Deployment Over WDM Network

M Ahsan, A Ahmed, H Fida, A Al-Dweik… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Network slicing in fifth generation (5G) radio access network (RAN) enables serving massive
network traffic with diverse and stringent quality of service (QoS) requirements. Multiple …

Low-delay layout planning based on improved particle swarm optimization algorithm in 5G optical fronthaul network

N Wang, J Liu, J Lu, X Zeng, X Zhao - Optical Fiber Technology, 2021 - Elsevier
The rapid development of time-sensitive applications, such as autopilot, telemedicine and
industrial automation, demands more stringent requirements on end-to-end delay …

Research on task offloading optimization strategies for vehicular networks based on game theory and deep reinforcement learning

L Wang, W Zhou, H Xu, L Li, L Cai, X Zhou - Frontiers in Physics, 2023 - frontiersin.org
With the continuous development of the 6G mobile network, computing-intensive and delay-
sensitive onboard applications generate task data traffic more frequently. Particularly, when …

[PDF][PDF] Intrusion Detection Using Federated Learning for Computing.

RS Aashmi, T Jaya - Computer Systems Science & Engineering, 2023 - cdn.techscience.cn
The integration of clusters, grids, clouds, edges and other computing platforms result in
contemporary technology of jungle computing. This novel technique has the aptitude to …

Baseband-function placement with multi-task traffic prediction for 5G radio access networks

LMM Zorello, L Bliek, S Troia, T Guns… - … on Network and …, 2022 - ieeexplore.ieee.org
The 5G Radio Access Network (RAN) virtualization aims to improve network quality and
lower the operator's costs. One of its main features is the functional split, ie, dividing the …

Traffic scheduling, network slicing and virtualization based on deep reinforcement learning

PM Kumar, S Basheer, BS Rawal, F Afghah… - Computers and …, 2022 - Elsevier
The revolutionary paradigm of the 5 G network slicing introduces promising market
possibilities through multi-tenancy support. Customized slices might be provided to other …

[HTML][HTML] Combining neural network-based method with heuristic policy for optimal task scheduling in hierarchical edge cloud

Z Chen, P Wei, Y Li - Digital Communications and Networks, 2023 - Elsevier
Deploying service nodes hierarchically at the edge of the network can effectively improve
the service quality of offloaded task requests and increase the utilization of resources. In this …

OFaaS: OpenFlow switch as a service for multi tenant slicing in SD-CDN

M Erel-Özçevik, B Canberk - IEEE Transactions on Network and …, 2020 - ieeexplore.ieee.org
In Software Defined-Content Delivery Networks (SD-CDN), the policies of tenants such as
Youtube, Netflix, Office 365, etc. are not the same due to having different 5G traffic …