Title :
A comprehensive system for P2P classification
Author :
Dai, Li ; Yang, Jie ; Lin, Li
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Currently, P2P application accounts for a majority of the network traffic. It is significant to study P2P recognition for network monitoring and management, as well as the improvement of service quality. There are many ways to identify P2P traffic, but it is difficult to identify effectively with only one method. To obtain the optimal classification, different methods should be used comprehensively. Take the consideration of efficiency and cost, a comprehensive classification system based on DPI and DFI is proposed which can effectively identify P2P applications.
Keywords :
computer network management; peer-to-peer computing; quality of service; telecommunication traffic; DFI; DPI; P2P classification; P2P recognition; comprehensive classification system; network management; network monitoring; network traffic; service quality; Accuracy; Automata; Boosting; Classification algorithms; Complexity theory; Probabilistic logic; Protocols; DFL; DPI; peer-to-peer; traffic classification;
Conference_Titel :
Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6851-5
DOI :
10.1109/ICNIDC.2010.5657830
