[HTML][HTML] Applying federated learning in software-defined networks: A survey
X Ma, L Liao, Z Li, RX Lai, M Zhang - Symmetry, 2022 - mdpi.com
Federated learning (FL) is a type of distributed machine learning approacs that trains global
models through the collaboration of participants. It protects data privacy as participants only …
models through the collaboration of participants. It protects data privacy as participants only …
Detection and classification of conflict flows in SDN using machine learning algorithms
Software-Defined Networking (SDN) is a new type of technology that embraces high
flexibility and adaptability. The applications in SDN have the ability to manage and control …
flexibility and adaptability. The applications in SDN have the ability to manage and control …
Guaranteeing end-to-end QoS provisioning in SOA based SDN architecture: A survey and Open Issues
S Khan, FK Hussain, OK Hussain - Future Generation Computer Systems, 2021 - Elsevier
Ensuring end-to-end Quality of Services (QoS) is a challenging aspect in traditional network
architectures. Software-Defined Network (SDN), as the new norm of the network, has …
architectures. Software-Defined Network (SDN), as the new norm of the network, has …
[HTML][HTML] Load balancing algorithm on the immense scale of internet of things in SDN for smart cities
Since the worldwide Internet of Things (IoT) in smart cities is becoming increasingly popular
among consumers and the business community, network traffic management is a crucial …
among consumers and the business community, network traffic management is a crucial …
VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning
The rapid development and deployment of network services has brought a series of
challenges to researchers. On the one hand, the needs of Internet end users/applications …
challenges to researchers. On the one hand, the needs of Internet end users/applications …
Resource management and security scheme of ICPSs and IoT based on VNE algorithm
The development of intelligent cyber–physical systems (ICPSs) in the virtual network
environment is facing severe challenges. On the one hand, the Internet of Things (IoT) …
environment is facing severe challenges. On the one hand, the Internet of Things (IoT) …
NFLCS: An service function chain path optimization strategy based on network-functional layout clustering
Under the background of 5G and 6G super bandwidth and ultra-low delay, Software Defined
Networking and Network Function Virtualization (SDN&NFV) makes the communication …
Networking and Network Function Virtualization (SDN&NFV) makes the communication …
Transportation Internet: A Sustainable Solution for Intelligent Transportation Systems
New challenges such as automation, connection, electrification, and sharing (ACES) have
brought disruptive changes to vehicles, transportation, and mobility services, which urgently …
brought disruptive changes to vehicles, transportation, and mobility services, which urgently …
[HTML][HTML] Multi-agent reinforcement learning framework in sdn-iot for transient load detection and prevention
The fast emergence of IoT devices and its accompanying big and complex data has
necessitated a shift from the traditional networking architecture to software-defined networks …
necessitated a shift from the traditional networking architecture to software-defined networks …
DPLBAnt: Improved load balancing technique based on detection and rerouting of elephant flows in software-defined networks
Traffic management in software-defined networks (SDNs) is critical for efficient bandwidth
utilization and resource provisioning. Recent works on SDN load balancing (LB) have …
utilization and resource provisioning. Recent works on SDN load balancing (LB) have …