A survey of machine learning techniques applied to software defined networking (SDN): Research issues and challenges
In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …
technologies, the infrastructure, devices and resources in networking systems are becoming …
Hybrid SDN networks: A survey of existing approaches
Software defined networking (SDN) decouples the control plane from the data plane of
forwarding devices. This separation provides several benefits, including the simplification of …
forwarding devices. This separation provides several benefits, including the simplification of …
Scalability, consistency, reliability and security in SDN controllers: a survey of diverse SDN controllers
Abstract Software Defined Networking simplifies design, monitoring and management of
next generation networks by segregating a legacy network into a centralized control plane …
next generation networks by segregating a legacy network into a centralized control plane …
How can edge computing benefit from software-defined networking: A survey, use cases, and future directions
A novel paradigm that changes the scene for the modern communication and computation
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …
systems is the Edge Computing. It is not a coincidence that terms like Mobile Cloud …
Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
Software defined networks-based smart grid communication: A comprehensive survey
The current power grid is no longer a feasible solution due to ever-increasing user demand
of electricity, old infrastructure, and reliability issues and thus require transformation to a …
of electricity, old infrastructure, and reliability issues and thus require transformation to a …
RL-routing: An SDN routing algorithm based on deep reinforcement learning
YR Chen, A Rezapour, WG Tzeng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Communication networks are difficult to model and predict because they have become very
sophisticated and dynamic. We develop a reinforcement learning routing algorithm …
sophisticated and dynamic. We develop a reinforcement learning routing algorithm …
A survey on machine learning techniques for routing optimization in SDN
In conventional networks, there was a tight bond between the control plane and the data
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
plane. The introduction of Software-Defined Networking (SDN) separated these planes, and …
Low-rate DoS attacks, detection, defense, and challenges: A survey
W Zhijun, L Wenjing, L Liang, Y Meng - IEEE access, 2020 - ieeexplore.ieee.org
Low-rate Denial of service (LDoS) attacks has become one of the biggest threats to the
Internet, cloud computing platforms, and big data centers. As an evolutionary species of …
Internet, cloud computing platforms, and big data centers. As an evolutionary species of …
Full-duplex communication in cognitive radio networks: A survey
Wireless networks with their ubiquitous applications have become an indispensable part of
our daily lives. Wireless networks demand more and more spectral resources to support the …
our daily lives. Wireless networks demand more and more spectral resources to support the …