Profit driven service provisioning in edge computing via deep reinforcement learning

Y Li, W Liang, J Li - IEEE Transactions on Network and Service …, 2022 - ieeexplore.ieee.org
With the integration of Mobile Edge Computing (MEC) and Network Function Virtualization
(NFV), service providers are able to provide low-latency services to mobile users for profit. In …

Profit maximization for service placement and request assignment in edge computing via deep reinforcement learning

Y Li, W Liang, J Li - Proceedings of the 24th international acm …, 2021 - dl.acm.org
With the integration of Mobile Edge Computing (MEC) and Network Function Virtualization
(NFV), service providers are able to provide low-latency services to mobile users for profit. In …

[HTML][HTML] A dynamic service placement based on deep reinforcement learning in mobile edge computing

S Lu, J Wu, J Shi, P Lu, J Fang, H Liu - Network, 2022 - mdpi.com
Mobile edge computing is an emerging paradigm that supplies computation, storage, and
networking resources between end devices and traditional cloud data centers. With …

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) …

Mobility-aware delay-sensitive service provisioning for mobile edge computing

Y Ma, W Liang, S Guo - IEEE INFOCOM 2019-IEEE Conference …, 2019 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has recently emerged as a promising technology to push the
cloud frontier to the network edge, provisioning network services in close proximity of mobile …

Deep reinforcement learning based approach for online service placement and computation resource allocation in edge computing

T Liu, S Ni, X Li, Y Zhu, L Kong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Due to the urgent emergence of computation-intensive intelligent applications on end
devices, edge computing has been put forward as an extension of cloud computing, to …

Task offloading with network function requirements in a mobile edge-cloud network

Z Xu, W Liang, M Jia, M Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Pushing the cloud frontier to the network edge close to mobile users has attracted
tremendous interest not only from cloud operators but also from network service providers. In …

A DQN-based approach for online service placement in mobile edge computing

X Jie, T Liu, H Gao, C Cao, P Wang, W Tong - … and Worksharing: 16th EAI …, 2021 - Springer
Due to the development of 5G networks, computation intensive applications on mobile
devices have emerged, such as augmented reality and video stream analysis. Mobile edge …

Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach

A Du, J Jia, J Chen, L Guo, X Wang - Computer Networks, 2024 - Elsevier
Mobile edge computing (MEC) integrated with the Network Functions Virtualization (NFV)
technique has been regarded as a promising solution for flexible services provision and …

COUNSEL: Cloud Resource Configuration Management using Deep Reinforcement Learning

A Hegde, SG Kulkarni… - 2023 IEEE/ACM 23rd …, 2023 - ieeexplore.ieee.org
Internet Clouds are essentially service factories that offer various networked services
through different service models, viz., Infrastructure, Platform, Software, and Functions as a …