A Traffic Classification Agent for Virtual Networks Based on QoS Classes

Internet growth drives the emergence and usage of new applications, which have specific requirements for Quality of Service (QoS). Thus, differentiation of packets which belong to certain QoS classes becomes a crucial factor to ensure the desirable quality for the applications. Within this context, this paper proposes an agent for real-time traffic classification based on QoS classes for virtual network environments, which aims at forwarding the flow to the adequate virtual network according to the QoS class. The study was made using the Mininet emulator and the Openflow Protocol. And the study showed that the agent using the Naive Bayes method performs the more suitable classification in real time.