Artificial intelligence based load balancing in SDN: A comprehensive survey
AH Alhilali, A Montazerolghaem - Internet of Things, 2023 - Elsevier
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 …
Routing optimization with deep reinforcement learning in knowledge defined networking
Traditional routing algorithms cannot dynamically change network environments due to the
limited information for routing decisions. Meanwhile, they are prone to performance …
limited information for routing decisions. Meanwhile, they are prone to performance …
Achieving balanced load distribution with reinforcement learning-based switch migration in distributed SDN controllers
Distributed controllers in software-defined networking (SDN) become a promising approach
because of their scalable and reliable deployments in current SDN environments. Since the …
because of their scalable and reliable deployments in current SDN environments. Since the …
RSCAT: Towards zero touch congestion control based on actor–critic reinforcement learning and software-defined networking
Network congestion is a phenomenon present in contemporaneous data centers (DCs)
independently of scale and underlying technologies. The small-scale presence of …
independently of scale and underlying technologies. The small-scale presence of …
Research and development of algorithms for improving fault tolerance in SDN networks based on artificial intelligence
M Moseva, V Lipatov - … Wave Electronics and its Application in …, 2024 - ieeexplore.ieee.org
The purpose of the work is to research and develop algorithms for improving fault tolerance
in SDN networks based on artificial intelligence. The paper presents a study of existing …
in SDN networks based on artificial intelligence. The paper presents a study of existing …
Machine learning empowered intelligent data center networking: A survey
To support the needs of ever-growing cloud-based services, the number of servers and
network devices in data centers is increasing exponentially, which in turn results in high …
network devices in data centers is increasing exponentially, which in turn results in high …
Meta-reinforcement learning based resource management in software defined networks using bayesian network
The capacity of Software Defined network (SDN) to efficiently manage resources depends
heavily on the scalability of both the scale of the network and the services it supports. An …
heavily on the scalability of both the scale of the network and the services it supports. An …
Actor-critic architecture based probabilistic meta-reinforcement learning for load balancing of controllers in software defined networks
The exponential growth in the complexity of network architecture to accommodate the
enormous amount of data has motivated the emergence of software-defined networks …
enormous amount of data has motivated the emergence of software-defined networks …
[PDF][PDF] Efficient automated car parking system based modified internet of spatial things in smart cities
N Alsaedi, ASA Jalal - Indonesian Journal of Electrical Engineering …, 2023 - academia.edu
The technological advances of smart cities have been progressively increasing to improve
the quality of life to humans, especially in urban mobility. Parking appears to be a major …
the quality of life to humans, especially in urban mobility. Parking appears to be a major …
Intelligent load balancing in data center software‐defined networks
E Gilliard, J Liu, AA Aliyu, D Juan… - Transactions on …, 2024 - Wiley Online Library
In response to the increasing demand for efficient resource utilization in data center
networks (DCNs), the development of intelligent load‐balancing algorithms has become …
networks (DCNs), the development of intelligent load‐balancing algorithms has become …