Design of Peer-to-Peer Traffic Classification System Model Based on Cloud Computing

摘要：

　　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.

关键词： cloud computing P2P traffic classification hadoop DPI MapReduce

作者: XiZi Liu YaBin Xu

作者单位: Beijing Information Science & Technology University,Beijing,China

会议类型: 国际会议

会议名称: 2012 International Applied Mechanics,Mechatronics Automation Symposium(2012应用力学,机电一体化自动化国际研讨会)(IAMMAS2012)

会议地点: 沈阳

会议语种:英文

页码: 1347-1351

在线出版日期: 2012-09-07（万方平台首次上网日期，不代表论文的发表时间）