Name
Abstract | ||
|---|---|---|
Understanding the composition of the Internet traffic has many applications nowadays, mainly tracking bandwidth consuming applications, QoS-based traffic engineering and lawful interception of illegal traffic. Although many classification methods such as Support Vector Machines (SVM) have demonstrated their accuracy, not enough attention has been paid to the practical implementation of lightweight classifiers. In this paper, we consider the design of a real-time SVM classifier at many Gbps to allow online detection of categories of applications. Our solution is based on the design of a hardware accelerated SVM classifier on a FPGA board. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IWCMC.2012.6314245 | 2012 8TH INTERNATIONAL WIRELESS COMMUNICATIONS AND MOBILE COMPUTING CONFERENCE (IWCMC) |
Keywords | Field | DocType |
Traffic classification, SVM, FPGA, acceleration | Traffic classification,Lawful interception,Computer science,Support vector machine,Quality of service,Field-programmable gate array,Real-time computing,Hardware acceleration,Traffic engineering,The Internet | Conference |
ISSN | Citations | PageRank |
2376-6492 | 10 | 0.57 |
References | Authors | |
24 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tristan Groleat | 1 | 13 | 2.71 |
| Matthieu Arzel | 2 | 69 | 15.10 |
| Sandrine Vaton | 3 | 215 | 29.78 |