Edge computing network resource allocation based on virtual network embedding
K Zhan, N Chen, SVN Santhosh Kumar… - International Journal …, 2022 - Wiley Online Library
It is expected that the demand for quality of service (QoS) and quality of experience (QoE) in
future 6G scenarios will continue to increase, and edge computing (EC) will continue to …
future 6G scenarios will continue to increase, and edge computing (EC) will continue to …
Multiagent deep-reinforcement-learning-based virtual resource allocation through network function virtualization in Internet of Things
Resource allocation is a significant task in the emerging area of Internet of Things (IoT). IoT
devices are usually low-cost devices with limited computational power and capabilities for …
devices are usually low-cost devices with limited computational power and capabilities for …
Virtual network function embedding under nodal outage using reinforcement learning
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …
future communication networks are expected to be increasingly complex and dynamic …
Cooperative multi-agent deep reinforcement learning for dynamic virtual network allocation with traffic fluctuations
A Suzuki, R Kawahara, S Harada - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Network traffic and computing demand have been changing dramatically due to the growth
of various types of network services, eg, high-quality video delivery and operating system …
of various types of network services, eg, high-quality video delivery and operating system …
[HTML][HTML] Virtual network function embedding under nodal outage using deep Q-learning
With the emergence of various types of applications such as delay-sensitive applications,
future communication networks are expected to be increasingly complex and dynamic …
future communication networks are expected to be increasingly complex and dynamic …
Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks
Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …
components. The performance of embedding algorithms determines the effectiveness and …
[HTML][HTML] Reinforcement learning-based virtual network embedding: A comprehensive survey
Virtual network embedding plays a vital role in network virtualization, as it determines the
deployment and connection of virtual networks to the physical network in the 5G and …
deployment and connection of virtual networks to the physical network in the 5G and …
Graph convolutional network aided virtual network embedding for Internet of Thing
The past few years have seen the dramatic adoption of the Internet of Things (IoT) in
everyday life, from manufacturing to healthcare. With the emergence of various new Internet …
everyday life, from manufacturing to healthcare. With the emergence of various new Internet …
[HTML][HTML] DVNE-DRL: dynamic virtual network embedding algorithm based on deep reinforcement learning
X Xiao - Scientific Reports, 2023 - nature.com
Virtual network embedding (VNE), as the key challenge of network resource management
technology, lies in the contradiction between online embedding decision and pursuing long …
technology, lies in the contradiction between online embedding decision and pursuing long …
Optimized multi-service tasks offloading for federated learning in edge virtualization
Edge federated learning (EFL) utilizes edge computing (EC) to alleviate direct round
communications of multi-dimensional model updates between local participants and the …
communications of multi-dimensional model updates between local participants and the …