Title page for etd-0212108-165100


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URN etd-0212108-165100
Author Yu-San Hsu
Author's Email Address No Public.
Statistics This thesis had been viewed 5360 times. Download 2291 times.
Department Computer Science and Engineering
Year 2007
Semester 1
Degree Master
Type of Document
Language zh-TW.Big5 Chinese
Title Impact and Analysis of Internet Service using random port
Date of Defense 2008-01-28
Page Count 60
Keyword
  • peer-to-peer(P2P)
  • port-based
  • content-based
  • random port
  • Abstract Over the last few years, peer-to-peer (P2P) applications have relentlessly grown
    to represent a formidable component of Internet traffic. In contract to P2P networks
    witch used well-defined port number, current P2P applications have use of arbitrary
    ports. As P2P applications continue to evolve, robust and effective methods are
    methods are needed for P2P traffic identification. Many P2P applications are
    bandwidth-intensive. Understanding the Internet traffic profile is important for several
    reasons, including traffic engineering, network service pricing.
    In this Thesis, we integrated port-based method into original Classifier which is
    using content-based method only. Therefore, we can improve the recognition rate for
    Classifier and identify more applications. We also verified our Classifier recognition
    rate by using the results of Service Control Engine.
    Advisory Committee
  • Ce-Kuen Shieh - chair
  • Chungnan Lee - co-chair
  • Chun-Hung Lin - co-chair
  • Mon-Yen Luo - co-chair
  • Chu-Sing Yang - advisor
  • Files
  • etd-0212108-165100.pdf
  • indicate accessible in a year
    Date of Submission 2008-02-12

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