Fine grained classification of Internet video traffics

For the purposes of efficient network resource management and QoS (Quality of Service) support of different video services, this paper proposes a fine grained classification scheme for Internet video traffics based on hierarchical clustering. We study a number of QoS and network resource requirements related statistical features of some typical video applications and validate their effectiveness in video traffic classification. This scheme classifies video services with the combinations of these statistical features. Experiments are performed on a large scale real network video traffic data. The results show that the proposed method can achieve significantly better classification performance in comparison to existing methods.