Service function chaining in mec: A mean-field game and reinforcement learning approach

A Abouaomar, S Cherkaoui, Z Mlika… - IEEE Systems …, 2022 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) and network virtualization technologies are important
enablers for fifth generation networks to deliver diverse services. Services are often provided …

Mean-field game and reinforcement learning MEC resource provisioning for SFC

A Abouaomar, S Cherkaoui, Z Mlika… - 2021 IEEE Global …, 2021 - ieeexplore.ieee.org
In this paper, we address the resource provisioning problem for service function chaining
(SFC) in terms of the placement and chaining of virtual network functions (VNFs) within a …

Adaptive service function chain scheduling in mobile edge computing via deep reinforcement learning

T Wang, J Zu, G Hu, D Peng - IEEE Access, 2020 - ieeexplore.ieee.org
MEC (Mobile Edge Computing) provides both IT service environment and cloud computation
on the edge of the network. This technology not only minimizes the end-to-end latency but …

DSPPV: dynamic service function chains placement with parallelized virtual network functions in mobile edge computing

HP Li, ME Kordi - Internet of Things, 2023 - Elsevier
This study configures an architecture based on Deep Reinforcement Learning (DRL) with
the aim of providing online services to end users in Mobile Edge Computing (MEC) …

Multiservice function chain embedding with delay guarantee: A game-theoretical approach

J Li, W Shi, Q Ye, N Zhang, W Zhuang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Through network function virtualization (NFV), virtual network functions (VNFs) can be
mapped onto substrate networks as service function chains (SFCs) to provide customized …

A reinforcement learning method for scheduling service function chains with multi-resource constraints

R He, B Ren, J Xie, D Guo, Y Zhou, L Zhao, Y Li - Computer Networks, 2023 - Elsevier
Traditional networks are usually equipped with many dedicated middleboxes to provide
various network services. Though these hardware-based devices certainly improve network …

Scarl: Service function chain allocation based on reinforcement learning in mobile edge computing

Q Jin, S Ge, J Zeng, X Zhou… - 2019 Seventh International …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) and Mobile Edge Computing (MEC) are the two core
technologies in 5G, therefore the service function chain allocation (SFC-A) in MEC plays an …

Low-latency Virtual Network function Scheduling Algorithm Based on Deep Reinforcement Learning

Z Liu, Z Shu, S Chen, Y Zhong, J Lin - Computer Networks, 2024 - Elsevier
This paper addresses the problem of mapping, scheduling, and routing of virtual network
functions (VNF) on a service function chain (SFC) that is sensitive to latency in a virtual …

Resource allocation optimization in the NFV-enabled MEC network based on game theory

B Wu, J Zeng, L Ge, S Shao, Y Tang… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
Compared with the conventional mobile edge cloud (MEC) network, the network function
virtualization (NFV)-enabled MEC network provides new flexibility on the MEC service …

SO‐VMEC: service offloading in virtual mobile edge computing using deep reinforcement learning

M Laroui, H Ibn‐Khedher, M Ali Cherif… - Transactions on …, 2022 - Wiley Online Library
Abstract Service offloading poses interesting challenges in current and next‐generation
networks. The classical network optimization algorithms are still painstakingly tune heuristics …