Traffic Allocation Technique in Computer Networks

Traffic classification enables a variety of applications and topics, including Quality of Service, security, monitoring, and intrusion-detection that are of use to researchers, accountants, network operators and end users. Capitalizing on network traffic that had been previously hand-classified provides with training and testing data-sets. The classification of network traffic can be done using Machine Learning Method, for this the use of simulating tools like NS2 can be used. It requires network protocol headers and the properties of unknown traffic for a successful classification stage.