Knowledge-defined networking (KDN) is an evolutionary step toward autonomous and self-driving networks. The building blocks of the KDN paradigm in achieving self-driving networks are software-defined networking (SDN), packet-level network telemetry, and machine learning (ML).
We describe a new paradigm that accommodates and exploits SDN, NA and AI, and provide use-cases that illustrate its applicability and benefits. We also present ...
People also ask
What is the meaning of knowledge networking?
What do knowledge networks refer to?
What knowledge is required for networking?
What is basic networking knowledge?
Jun 20, 2016 · We describe a new paradigm that accommodates and exploits SDN, NA and AI, and provide use cases that illustrate its applicability and benefits.
This website aims to publish training datasets to encourage open research, development and benchmarking of Machine Learning algorithms applied to Computer ...
Jun 23, 2016 · We refer to the paradigm resulting from combining SDN, telemetry, Network Analytics, and the Knowledge Plane as. Knowledge-Defined Networking.
A routing framework that classifies the data flow into two classes (mice and elephant) based on their size and then, based on the knowledge of the classified ...
Training datasets to encourage open research, development and benchmarking of Machine Learning algorithms applied to Computer Networks.
Knowledge-defined Networking (KDN), network telemetry and Software-defined Networking (SDN) are fundamental building blocks to realize self-driving network.
Aug 2, 2023 · Knowledge-Defined Networking (KDN) is an advanced version of SDN that takes one step forward by decoupling the management plane from control ...
We refer to the paradigm resulting from combining SDN, telemetry, Network Analytics, and the Knowledge Plane as. Knowledge-Defined Networking. This paper first ...