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  • 标题:Traffic Identification Method Engine: An Open Platform for Traffic Classification
  • 本地全文:下载
  • 作者:A.R. Arunachalam ; K.G.S. Venkatesan ; Abdul Basith.K.V
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:3
  • DOI:10.15680/ijircce.2015.0303163
  • 出版社:S&S Publications
  • 摘要:The availability of open supply traffic classification systems designed for each experimental andoperational use will facilitate collaboration, convergence on normal definitions and procedures, and reliable analysis oftechniques. during this article, we tend to describe Traffic Identification Engine (TIE), associate open supply tool fornet-work traffic classification , that we tend to started developing in 2008 to market sharing common implementationsand information during this field. In the traffic identification engine we use to special path or send messeges. in thisalgorithm we have the lowest path of width to send messages. Through scientific collaborations, and thanks to thesupport of the open source community, this platform gradually evolved over the past five years, supporting anincreasing number of functionalities, some of which we highlight in this articles.
  • 关键词:TIE; Functions;Web Architecture
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