Traffic Analysis of Mobile Broadband Networks
Géza Szabó, Dániel Orincsay, Balázs Péter Gerö, Or Gyori, Tamás Borsos · 2015
Detailed knowledge about the traffic mixture is essential for network operators and administrators, as it is a key input for numerous network management activities. Several traf-fic classification approaches co-exist in the literature, but none of them performs well for all different application traffic types present in the Internet. In this study we compare and benchmark the currently known traffic classification meth-ods on network traces captured in an operational 3G mo-bile network. Utilizing the experiences about the strengths and weaknesses of the existing approaches, a novel combined method is proposed aiming at improving the completeness and accuracy of classification. The novel method is based on a complex decision mechanism, which can provide appro-priate identification for each different application type. As a main contribution, with the help of the new method it is shown that applications previously used only in fixed access networks may appear in mobile broadband environment. 1.