[HTML][HTML] Hybrid SDN evolution: A comprehensive survey of the state-of-the-art
Abstract Software-Defined Networking (SDN) is an evolutionary networking paradigm which
has been adopted by large network and cloud providers, among which are Tech Giants …
has been adopted by large network and cloud providers, among which are Tech Giants …
GROM: A generalized routing optimization method with graph neural network and deep reinforcement learning
M Ding, Y Guo, Z Huang, B Lin, H Luo - Journal of Network and Computer …, 2024 - Elsevier
Routing optimization, as a significant part of Traffic Engineering (TE), plays an important role
in balancing network traffic and improving quality of service. With the application of Machine …
in balancing network traffic and improving quality of service. With the application of Machine …
TITE: A transformer-based deep reinforcement learning approach for traffic engineering in hybrid SDN with dynamic traffic
B Lin, Y Guo, H Luo, M Ding - Future Generation Computer Systems, 2024 - Elsevier
Abstract Hybrid Software Defined Networks (Hybrid SDNs), with a partial upgrade of legacy
routers to SDN switches in traditional distributed networks, currently stand as a prevailing …
routers to SDN switches in traditional distributed networks, currently stand as a prevailing …
Traffic engineering in hybrid software defined network via reinforcement learning
Abstract The emergence of Software Defined Network (SDN) provides a centralized and
flexible approach to route network flows. Due to the technical and economic challenges in …
flexible approach to route network flows. Due to the technical and economic challenges in …
Joint energy efficiency and load balancing optimization in hybrid IP/SDN networks
Software-defined networking (SDN) is a paradigm that provides flexibility and
programmability to computer networks. By introducing SDN nodes in a legacy IP network …
programmability to computer networks. By introducing SDN nodes in a legacy IP network …
HybridFlow: Achieving load balancing in software-defined WANs with scalable routing
The scalability issue hinders the deployment of Software-Defined Networking (SDN) in the
Wide Area Networks (WANs). Existing solutions have two issues:(1) network performance …
Wide Area Networks (WANs). Existing solutions have two issues:(1) network performance …
Routing optimization with path cardinality constraints in a hybrid SDN
Abstract The emergence of Software Defined Networking (SDN) increases the flexibility of
routing and provides an efficient approach to balance network flows. Due to the economical …
routing and provides an efficient approach to balance network flows. Due to the economical …
Distributed Traffic Engineering in Hybrid Software Defined Networks: A Multi-agent Reinforcement Learning Framework
Y Guo, B Lin, Q Tang, Y Ma, H Luo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Traffic Engineering (TE) is an efficient technique to balance network flows and thus improves
the performance of a hybrid Software Defined Network (SDN). Previous TE solutions mainly …
the performance of a hybrid Software Defined Network (SDN). Previous TE solutions mainly …
VRPR: A New Data Center Protocol for Enhanced Network Performance, Resilience and Recovery
MM Iqbal, MD Awan, MSH Khiyal, RA Bakar - IEEE Access, 2024 - ieeexplore.ieee.org
There is an increasing demand for high-performance data center networks with resilient
connectivity to support modern applications. Current approaches often lack robustness …
connectivity to support modern applications. Current approaches often lack robustness …
Path selection for link failure protection in hybrid SDNs
J Li, X Qi, W Ma, L Liu - Future Generation Computer Systems, 2022 - Elsevier
During the transition from traditional networks to pure Software-Defined Networks (SDNs),
hybrid SDNs are derived to provide flexible services. Furthermore, develo** effective …
hybrid SDNs are derived to provide flexible services. Furthermore, develo** effective …