Traffic classification is an essential task for network management. Many researchers have paid attention to initial sub-flow features based classifiers for traffic classification. However, the existing classifiers cannot classify traffic effectively in mobile IP networks. The classifiers depend on initial sub-flows, but they cannot always capture the sub-flows at a point of attachment for a var...

This paper presents a novel traffic classification approach which classifies TCP connections with help of observable Markov models. As traffic properties, payload length, direction, and position of the first packets of a TCP connection are considered. We evaluate the accuracy of the classification approach with help of packet traces captured in a real network, achieving higher accuracies than t...

Peer-to-peer (P2P) traffic has occupied major fraction of all internet traffic. Hence, P2P flow identification becomes an important problem for network management. In our work, we propose an ensemble classification approach for P2P traffic identification, which integrates six DTNB(combination of naive Bayes and decision tables) algorithm and dynamic weighted integration method. The proposed P2P...

Daily observed traffic flow can show different characteristics varying with the times of the day. They are caused by traffic incidents such as accidents, disabled cars, construction activities and other unusual events. Three different major traffic conditions can be occurred: “Flow,” “Dense” and “Congested”. Objective of this research is to identify the current traffic condition by examining th...

We propose a novel pricing incentive mechanism based on multi-satges traffic classification methodology supporting load balancing and allocating network resource efficiently for QoS-enabled networks in this paper. We integrate the pricing with QoS routing and present a novel pricing incentive mechanism meeting the QoS requirements of different applications. This mechanism provides an equitable ...

Traffic models play an important role in both today’s traffic research and in many traffic applications such as traffic flow prediction, incident detection and traffic control. In this paper we concentrate on motorway traffic models for traffic control. First, we discuss why traffic control is important for both practice and research. We also argue why a model-based approach to traffic control ...