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.
Cite this paper
Xu, B. , Li, B. , Hu, C. and Zhang, G. (2013) EPFIA: Extensible P2P Flows Identification Architecture. Journal of Applied Mathematics and Physics
, 56-62. doi: 10.4236/jamp.2013.14011
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