Artificial intelligence based load balancing in SDN: A comprehensive survey
In the future, it is anticipated that software-defined networking (SDN) will become the
preferred platform for deploying diverse networks. Compared to traditional networks, SDN …
preferred platform for deploying diverse networks. Compared to traditional networks, SDN …
AI-driven packet forwarding with programmable data plane: A survey
The existing packet forwarding technology cannot meet the increasing requirements of
Internet development due to its rigid framework. Application of artificial intelligence (AI) for …
Internet development due to its rigid framework. Application of artificial intelligence (AI) for …
[HTML][HTML] ESCALB: An effective slave controller allocation-based load balancing scheme for multi-domain SDN-enabled-IoT networks
In software-defined networking (SDN), several controllers improve the reliability as well as
the scalability of networks such as the Internet-of-Things (IoT), with the distributed control …
the scalability of networks such as the Internet-of-Things (IoT), with the distributed control …
Dynamic SDN-based radio access network slicing with deep reinforcement learning for URLLC and eMBB services
Radio access network (RAN) slicing is a key technology that enables 5G network to support
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
heterogeneous requirements of generic services, namely ultra-reliable low-latency …
ML-based pre-deployment SDN performance prediction with neural network boosting regression
Software defined networking (SDN) has been proposed as an effective approach to improve
network management efficiency and increase network intelligence in various networks …
network management efficiency and increase network intelligence in various networks …
A deep reinforcement learning approach for service migration in mec-enabled vehicular networks
Multi-access edge computing (MEC) is a key enabler to reduce the latency of vehicular
network. Due to the vehicles mobility, their requested services (eg, infotainment services) …
network. Due to the vehicles mobility, their requested services (eg, infotainment services) …
Traffic management in iot backbone networks using gnn and mab with sdn orchestration
Traffic management is a critical task in software-defined IoT networks (SDN-IoTs) to
efficiently manage network resources and ensure Quality of Service (QoS) for end-users …
efficiently manage network resources and ensure Quality of Service (QoS) for end-users …
A multitask learning-based network traffic prediction approach for SDN-enabled industrial Internet of Things
With the rapid advance of industrial Internet of Things (IIoT), to provide flexible access for
various infrastructures and applications, software-defined networks (SDNs) have been …
various infrastructures and applications, software-defined networks (SDNs) have been …
ALBLP: Adaptive Load‐Balancing Architecture Based on Link‐State Prediction in Software‐Defined Networking
J Chen, Y Wang, X Huang, X **e… - … and Mobile Computing, 2022 - Wiley Online Library
Load‐balancing optimization in software‐defined networking (SDN) has been researched
for a long time. Researchers have proposed many solutions to the load‐balancing problem …
for a long time. Researchers have proposed many solutions to the load‐balancing problem …
Load balancing optimization in software-defined wide area networking (SD-WAN) using deep reinforcement learning
Software-Defined Wide Area Network (SD-WAN) holds tremendous potential to provide multi-
cloud multi-network interconnection and prevent channel congestion. However, traffic …
cloud multi-network interconnection and prevent channel congestion. However, traffic …