Design of Peer-to-Peer Traffic Classification System Model Based on Cloud Computing
Xi Zi Liu, Ya Xu · Applied Mechanics and Materials · 2012
The advantages and disadvantages of mainstream peer-to-peer (P2P) traffic classification technology in the current application are analyzed. As existing traffic classification tools fail to meet the super flow, as well as continuous increasing of network bandwidth, a cloud-based P2P traffic classification system model is proposed, which use the distributed parallel computing architecture named MapReduce based on hadoop.