| Autor: |
Hutchison, David, Kanade, Takeo, Kittler, Josef, Kleinberg, Jon M., Mattern, Friedemann, Mitchell, John C., Naor, Moni, Nierstrasz, Oscar, Pandu Rangan, C., Steffen, Bernhard, Sudan, Madhu, Terzopoulos, Demetri, Tygar, Doug, Vardi, Moshe Y., Weikum, Gerhard, Fdida, Serge, Sugiura, Kazunori, Bernaille, Laurent, Teixeira, Renata |
| Zdroj: |
Sustainable Internet; 2007, p156-166, 11p |
| Abstrakt: |
The automatic identification of applications associated with network traffic is an essential step to apply quality-of-service policies and profile network usage. Our prior work proposes Early Application Identification, a method that accurately identifies the application after the first four packets of a TCP connection. However, an online implementation of this method faces two challenges: it needs to run at high speed and with limited memory. This paper addresses these issues. We propose an algorithm that implements Early Application Identification plus a number of computation and memory optimizations. An evaluation using traffic traces collected at our university network shows that this implementation can classify traffic at up to 6 Gbit/s. This speed is more than enough to classify traffic at current edge networks. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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