Dynamic Flow Classification Model for Resource Distribution in SDN Networks

As the number of networked devices and applications rapidly grows, particularly the Internet of Things applications, billions of devices are connected to the network and therefore managing the generated traffic becomes a needy task. Effectively managing these devices to support reliable, secure, and high-quality applications become challenging. The main solution to manage network traffic is the automatic classification of application aimed at identifying the semantic type of the application by analyzing its network traffic and wide range of new features. This article proposes a model for dynamic network traffic classification in Software-Defined Networks based on the modified k-means algorithm for network resources distribution to prioritized types of traffic, which allows network applications optimization