EPFIA: Extensible P2P Flows Identification Architecture

Bo Xu, Bing Li, Chao Hu, Guomin Zhang

Institute of Command Information System PLA University of Science and Technology, Nanjing, China.

DOI: 10.4236/jamp.2013.14011                

Abstract

The fundament of managing P2P traffic is identifying various P2P flows accurately. Although many P2P flows identification methods are presented nowadays, there are no ideas for either integrating these independent methods together or being extended fast to support new method. In this work, an extensible P2P flows identification architecture (EPFIA for short) is proposed. In order to identify many specific P2P flows, EPFIA uses many different identification methods simultaneously, and obtains the highest efficiency via adjusting their identification sequence. An online mechanism of renewing identification methods is designed, which can extend new identification method without compiling the whole program. Applying policy mechanism, identification methods can be updated, started and halted remotely. The experiment results of running the prototype system show us that EPFIA could effectively promote the performance of system and support online renew P2P identification methods and manage them remotely.

Keywords

P2P; Flow Identification; Architecture; Policy Schedule

Conflicts of Interest

The authors declare no conflicts of interest.

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