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

机译:感知文件的P2P流量分类:有助于网络管理-Springer

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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.
机译:近年来,由于P2P在Internet流量中占主导地位,ISP正在努力在为P2P用户提供基本网络服务和适当管理网络带宽使用之间取得平衡。也就是说,要求ISP为每个P2P用户提供适当的带宽,以获取每个文件来满足其对通信的要求,同时他们必须控制带宽消耗以有效使用。但是,当前的P2P流量管理策略无法同时满足这两个要求。在本文中,我们的目标是为ISP设计一个简单有效的方案以减轻折衷。它是通过提出一种可识别文件和相关流的文件感知P2P流量分类方法来实现的。文件级信息可以导致每个文件更有效,更灵活的管理策略。我们提供了两种选择:限制每个文件的带宽消耗和每个文件并发流的数量。最终,使用我们的文件感知方法从对等方和文件的角度测量了真实的痕迹。结果表明,ISP可以获得足够的机会根据实际需求灵活选择合适的流量管理参数。

著录项

  • 来源
    《Peer-to-peer networking and applications》 |2013年第3期|325-339|共15页
  • 作者

    Tian Song; Zhou Zhou;

  • 作者单位

    1.Beijing Laboratory of Intelligent Information Technology School of Computer Science and Technology Beijing Institute of Technology Beijing China 2.State Key Laboratory of Networking and Switching Technology Beijing University of Post and Telecommunications Beijing China;

    3.Institute of Information Engineering Chinese Academy of Sciences Beijing China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Peer-to-peer Traffic classification Fairness Traffic management;

    机译:对等流量分类公平性流量管理;

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