A resource allocation framework for network slicing

M Leconte, GS Paschos… - IEEE INFOCOM 2018 …, 2018 - ieeexplore.ieee.org
Telecommunication networks are converging to a massively distributed cloud infrastructure
interconnected with software defined networks. In the envisioned architecture, services will …

Scalable orchestration of service function chains in NFV-enabled networks: A federated reinforcement learning approach

H Huang, C Zeng, Y Zhao, G Min, Y Zhu… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Network function virtualization (NFV) is critical to the scalability and flexibility of various
network services in the form of service function chains (SFCs), which refer to a set of Virtual …

[HTML][HTML] Efficiency-optimized 6G: A virtual network resource orchestration strategy by enhanced particle swarm optimization

S Zou, J Wu, H Yu, W Wang, L Huang, W Ni… - Digital Communications …, 2023 - Elsevier
The future sixth-generation (6G) wireless systems are expected to encounter emerging
services with diverse requirements. In this paper, 6G network resource orchestration is …

P4NFV: An NFV architecture with flexible data plane reconfiguration

M He, A Basta, A Blenk, N Deric… - 2018 14th International …, 2018 - ieeexplore.ieee.org
Current architecture proposals for Network Function Virtualization (NFV) do not integrate
hardware-accelerated network function implementations. Recent research studies have …

Dynamic and application-aware provisioning of chained virtual security network functions

R Doriguzzi-Corin, S Scott-Hayward… - … on Network and …, 2019 - ieeexplore.ieee.org
A promising area of application for Network Function Virtualization (NFV) is in network
security, where chains of Virtual Security Network Functions (VSNFs), ie, security-specific …

A hybrid optimization-machine learning approach for the VNF placement and chaining problem

SMA Araújo, FSH de Souza, GR Mateus - Computer Networks, 2021 - Elsevier
Abstract Virtual Network Function Placement and Chaining Problem focuses on allocation of
customers demand's on the Substrate Network. Among other factors, an optimal allocation of …

POTAM: A parallel optimal task allocation mechanism for large-scale delay sensitive mobile edge computing

X Zhong, X Wang, T Yang, Y Yang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Design an optimization model for task management among Mobile Terminal (MT), Macro
cell Base Station (MBS), and multiple Small cell Base Stations (SBS) for the large-scale …

RQAP: Resource and QoS Aware Placement of Service Function Chains in NFV-enabled Networks

H Huang, J Tian, H Yin, G Min, D Wu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Network Functions Virtualization (NFV), which decouples network functions from the
underlying hardware, has been regarded as an emerging paradigm to provide flexible …

Energy-latency aware offloading for hierarchical mobile edge computing

B Wu, J Zeng, L Ge, X Su, Y Tang - IEEE Access, 2019 - ieeexplore.ieee.org
Mobile edge computing (MEC) enhances the computing capacity of resources-poor user
equipment (UE) by computational offloading. However, edge clouds suffer from a limited …

Network‐Cloud Slicing Definitions for Wi‐Fi Sharing Systems to Enhance 5G Ultra Dense Network Capabilities

M Carmo, FS Dantas Silva, AV Neto… - Wireless …, 2019 - Wiley Online Library
Ultradense Networks (UDNs) seek to scale the 5th‐Generation mobile network systems at
unforeseen amounts of networks, users, and mobile traffic. We believe that the Wi‐Fi sharing …