File-aware P2P traffic classification: An aid to network management

被引:0
|
作者
Tian Song
Zhou Zhou
机构
[1] Beijing Institute of Technology,Beijing Laboratory of Intelligent Information Technology, School of Computer Science and Technology
[2] Beijing University of Post and Telecommunications,State Key Laboratory of Networking and Switching Technology
[3] Chinese Academy of Sciences,Institute of Information Engineering
关键词
Peer-to-peer; Traffic classification; Fairness; Traffic management;
D O I
暂无
中图分类号
学科分类号
摘要
As P2P dominates Internet traffic in recent years, ISPs are striving to balance between providing the basic networking services for P2P users and properly managing network bandwidth usage. That is, ISPs are required to provide proper bandwidth for each P2P user to get every file to fulfill their provision for communications, while they have to control bandwidth consumption for efficient usage. However, current P2P traffic management strategies are unable to satisfy both requirements. In this paper, our goal is to design a simple and effective scheme for ISPs to moderate the tradeoff. It is achieved by proposing a file-aware P2P traffic classification method that can identify files and the associated flows. The file-level information can lead to more efficient and flexible management strategies on a per-file basis. We offer two alternatives: constraining the per-file bandwidth consumption and the number of per-file concurrent flows. Finally, a real-life trace is measured using our file-aware method from the perspectives of peers and files. The results indicate that ISPs can gain enough opportunities to flexibly choose proper traffic manage parameters according to actual demands.
引用
收藏
页码:325 / 339
页数:14
相关论文
共 50 条
  • [1] File-aware P2P traffic classification: An aid to network management
    Song, Tian
    Zhou, Zhou
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2013, 6 (03) : 325 - 339
  • [2] File-Aware P2P Traffic Classification
    Zhou, Zhou
    Song, Tian
    2011 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2011, : 636 - 640
  • [3] P2P Traffic Classification for Residential Network
    Thay, Channary
    Visoottiviseth, Vasaka
    Mongkolluksamee, Sophon
    2015 INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2015, : 222 - 227
  • [4] Traffic analysis model for P2P file sharing network
    Li, Yipeng
    Ren, Yong
    Yuan, Jian
    Shan, Xiuming
    Qinghua Daxue Xuebao/Journal of Tsinghua University, 2011, 51 (06): : 745 - 749
  • [5] Network Classification of P2P Traffic with Various Classification Methods
    Han, Seokwan
    Hwang, Jinsoo
    KOREAN JOURNAL OF APPLIED STATISTICS, 2015, 28 (01) : 1 - 8
  • [6] A study on key strategies in P2P file sharing systems and ISPs’ P2P traffic management
    Jessie Hui Wang
    Chungang Wang
    Jiahai Yang
    Changqing An
    Peer-to-Peer Networking and Applications, 2011, 4 : 410 - 419
  • [7] A study on key strategies in P2P file sharing systems and ISPs' P2P traffic management
    Wang, Jessie Hui
    Wang, Chungang
    Yang, Jiahai
    An, Changqing
    PEER-TO-PEER NETWORKING AND APPLICATIONS, 2011, 4 (04) : 410 - 419
  • [8] Network-aware P2P file sharing over the wireless mobile networks
    Huang, Chung-Ming
    Hsu, Tz-Heng
    Hsu, Ming-Fa
    IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2007, 25 (01) : 204 - 210
  • [9] P2P and P2P botnet traffic classification in two stages
    Ye, Wujian
    Cho, Kyungsan
    SOFT COMPUTING, 2017, 21 (05) : 1315 - 1326
  • [10] P2P and P2P botnet traffic classification in two stages
    Wujian Ye
    Kyungsan Cho
    Soft Computing, 2017, 21 : 1315 - 1326