Graph-based deep learning for communication networks: A survey
W Jiang - Computer Communications, 2022 - Elsevier
Communication networks are important infrastructures in contemporary society. There are
still many challenges that are not fully solved and new solutions are proposed continuously …
still many challenges that are not fully solved and new solutions are proposed continuously …
Machine learning methods for reliable resource provisioning in edge-cloud computing: A survey
Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …
cloud data centers. To overcome the limitations inherent to this type of deployment …
Learning combinatorial optimization on graphs: A survey with applications to networking
Existing approaches to solving combinatorial optimization problems on graphs suffer from
the need to engineer each problem algorithmically, with practical problems recurring in …
the need to engineer each problem algorithmically, with practical problems recurring in …
Forecast-assisted service function chain dynamic deployment for SDN/NFV-enabled cloud management systems
J Zhang, Y Liu, Z Li, Y Lu - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
Software-defined network (SDN) and network function virtualization (NFV) are
acknowledged as the most promising technologies to effectively allocate resource for …
acknowledged as the most promising technologies to effectively allocate resource for …
Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks
The emerging paradigm-Software-Defined Networking (SDN) and Network Function
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …
A survey on mobile edge computing infrastructure: Design, resource management, and optimization approaches
LA Haibeh, MCE Yagoub, A Jarray - IEEE Access, 2022 - ieeexplore.ieee.org
Emerging 5G cellular networks are expected to face a dramatic increase in the volume of
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
mobile traffic and IoT user requests due to the massive growth in mobile devices and the …
On dynamic service function chain deployment and readjustment
Network function virtualization (NFV) is a promising technology to decouple the network
functions from dedicated hardware elements, leading to the significant cost reduction in …
functions from dedicated hardware elements, leading to the significant cost reduction in …
Machine learning-driven service function chain placement and scaling in MEC-enabled 5G networks
Abstract 5G mobile network technology promises to deliver unprecedented ultra-low latency
and high data rates, paving the way for many novel applications and services. Network …
and high data rates, paving the way for many novel applications and services. Network …
Algorithmics and modeling aspects of network slicing in 5G and beyonds network: Survey
One of the key goals of future 5G networks is to incorporate many different services into a
single physical network, where each service has its logical network isolated from other …
single physical network, where each service has its logical network isolated from other …
Graph neural networks for intelligent modelling in network management and orchestration: a survey on communications
The advancing applications based on machine learning and deep learning in
communication networks have been exponentially increasing in the system architectures of …
communication networks have been exponentially increasing in the system architectures of …