[HTML][HTML] Analysis of the use of artificial intelligence in software-defined intelligent networks: A survey
The distributed structure of traditional networks often fails to promptly and accurately provide
the computational power required for artificial intelligence (AI), hindering its practical …
the computational power required for artificial intelligence (AI), hindering its practical …
Security Control and Data Planes of SDN: A Comprehensive Review of Traditional, AI and MTD Approaches to Security Solutions
Software-Defined Networking (SDN) is a groundbreaking technology that has transformed
network management significantly. By integrating data and control, SDN offers unparalleled …
network management significantly. By integrating data and control, SDN offers unparalleled …
Traffic prediction in SDN for explainable QoS using deep learning approach
G Wassie, J Ding, Y Wondie - Scientific Reports, 2023 - nature.com
The radical increase of multimedia applications such as voice over Internet protocol (VOIP),
image processing, and video-based applications require better quality of service (QoS) …
image processing, and video-based applications require better quality of service (QoS) …
Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction
Software-defined networking (SDN) is characterized by the separation of the packet
forwarding plane from the network control plane. This separation offers an extensive view of …
forwarding plane from the network control plane. This separation offers an extensive view of …
Building Resilience for SDN-Enabled IoT Networks in Offshore Renewable Energy Supply
A Mwangi, E Fumagalli, M Gryning… - 2023 IEEE 9th World …, 2023 - ieeexplore.ieee.org
Resilient software-defined Internet of Things (SD-IoT) networks are critical in offshore
renewable energy supply (such as offshore wind farms) for wide-area monitoring, protection …
renewable energy supply (such as offshore wind farms) for wide-area monitoring, protection …
Load Balancing in DCN Servers Through Software Defined Network Machine Learning.
G Beissenova, A Zhidebayeva… - International …, 2024 - search.ebscohost.com
In this research paper, we delve into the innovative realm of optimizing load balancing in
Data Center Networks (DCNs) by leveraging the capabilities of Software-Defined …
Data Center Networks (DCNs) by leveraging the capabilities of Software-Defined …