Optimized IoT service chain implementation in edge cloud platform: a deep learning framework
Internet of Things (IoT) services have been implemented for several network applications
from smart cities to rural areas. However, there are many barriers to provide an efficient …
from smart cities to rural areas. However, there are many barriers to provide an efficient …
Dynamic service function chain orchestration for NFV/MEC-enabled IoT networks: A deep reinforcement learning approach
Y Liu, H Lu, X Li, Y Zhang, L Xi… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) and mobile-edge computing (MEC) have been
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
introduced by Internet service providers (ISPs) to deal with various challenges, which hinder …
Towards intelligent provisioning of virtualized network functions in cloud of things: A deep reinforcement learning based approach
Cloud of Things (CoT) is an integration of Internet of Things (IoT) and cloud computing,
where Network Function Virtualization (NFV) can dynamically provide Virtualized Network …
where Network Function Virtualization (NFV) can dynamically provide Virtualized Network …
Distributed orchestration of service function chains for edge intelligence in the industrial internet of things
Network virtualization techniques are promising to overcome the obstacle of applying and
expanding costly traditional networks in the industrial Internet of things (IIoT). Artificial …
expanding costly traditional networks in the industrial Internet of things (IIoT). Artificial …
Ensemble deep learning assisted VNF deployment strategy for next-generation IoT services
M Emu, S Choudhury - IEEE Open Journal of the Computer …, 2021 - ieeexplore.ieee.org
Due to the massive Internet of Things (IoT) connectivity and substantial growth of
communication traffic, Virtual Network Function (VNF) orchestration scheme is anticipated to …
communication traffic, Virtual Network Function (VNF) orchestration scheme is anticipated to …
A Review on Deep Reinforcement Learning for the management of SDN and NFV in Edge-IoT
RS Alonso, J Prieto, F de La Prieta… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The Internet of Things (IoT) represents billions of devices collecting valuable information
through different sensors to be transferred to the Cloud, where it is stored and processed to …
through different sensors to be transferred to the Cloud, where it is stored and processed to …
IoT-cloud service optimization in next generation smart environments
The impact of the Internet of Things (IoT) on the evolution toward next generation smart
environments (eg, smart homes, buildings, and cities) will largely depend on the efficient …
environments (eg, smart homes, buildings, and cities) will largely depend on the efficient …
Trusted cloud-edge network resource management: DRL-driven service function chain orchestration for IoT
S Guo, Y Dai, S Xu, X Qiu, F Qi - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
Private and public networks sharing resources for Internet of Things (IoT) network through
network function virtualization (NFV) and software-defined networking (SDN) forms a …
network function virtualization (NFV) and software-defined networking (SDN) forms a …
Intelligent service orchestration in edge cloud networks
The surge in data traffic is challenging for network infrastructure owners coping with
stringent service requirements (eg, high bandwidth, ultralow latency) as well as shrinking …
stringent service requirements (eg, high bandwidth, ultralow latency) as well as shrinking …
IoT microservice deployment in edge-cloud hybrid environment using reinforcement learning
The edge-cloud hybrid environment requires complex deployment strategies to enable the
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …
smart Internet-of-Things (IoT) system. However, current service deployment strategies use …