Title :
A Unified Framework for Flow Classification
Author :
Anantavrasilp, Isara
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Dresden, Dresden, Germany
Abstract :
IP traffic or Internet flow classification has played an important role in many network activities. Many works have been carried out for the past several years targeting different goals including Quality-of-Service support, security, management, and provisioning. However, these approaches are developed and evaluated separately without a general model that can be used to identify, categorize, and compare them. Thus, it is difficult for a newcomer to understand the principle of flow classification and to find a suitable method for her domain. This paper brings forth a mathematical model that describes the flow classification components and processes on an abstract level. We then classify existing flow classification approaches and compare them in a unified framework.
Keywords :
IP networks; quality of service; telecommunication traffic; IP traffic; Internet flow; Quality-of-Service management; Quality-of-Service provisioning; Quality-of-Service security; Quality-of-Service support; flow classification; Application software; Computer science; Feature extraction; Helium; Intelligent networks; Mathematical model; Real time systems; Signal processing; Telecommunication traffic; Traffic control; classification model; flow classfication; flow classification review; qos; traffic modeling;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.97