Fast, Accurate, and Lightweight Real-Time Traffic Identification Method Based on Flow Statistics

@incollection{citeulike:2309608, abstract = {Recently, identification of real-time traffic online is a key technology to achieve different service to real-time and bulk applications. Previously it is easy to identify real-time by checking the protocol/port number in IP header, however, it becomes more difficult due to the existence of streaming traffic over TCP connection, overlay networks such as P2P and VPN. In this paper, we propose a new identification method for real-time traffic based on not checking the protocol number, but analyzing the statistical characteristics of packet arrivals. Our approach is fast, accurate and lightweight compared to conventional techniques.}, author = {Tai, Masaki and Ata, Shingo and Oka, Ikuo }, citeulike-article-id = {2309608}, journal = {Passive and Active Network Measurement}, keywords = {legacy-application, prediction, real-time, traffic-modeling}, pages = {255--259}, posted-at = {2008-02-27 10:24:54}, priority = {5}, title = {Fast, Accurate, and Lightweight Real-Time Traffic Identification Method Based on Flow Statistics}, url = {http://dx.doi.org/10.1007/978-3-540-71617-4\_30}, year = {2007} }

TY - CHAP ID - citeulike:2309608 L3 - citeulike-article-id:2309608 TI - Fast, Accurate, and Lightweight Real-Time Traffic Identification Method Based on Flow Statistics JF - Passive and Active Network Measurement SP - 255 EP - 259 N2 - Recently, identification of real-time traffic online is a key technology to achieve different service to real-time and bulk applications. Previously it is easy to identify real-time by checking the protocol/port number in IP header, however, it becomes more difficult due to the existence of streaming traffic over TCP connection, overlay networks such as P2P and VPN. In this paper, we propose a new identification method for real-time traffic based on not checking the protocol number, but analyzing the statistical characteristics of packet arrivals. Our approach is fast, accurate and lightweight compared to conventional techniques. KW - legacy-application KW - prediction KW - real-time KW - traffic-modeling AU - Tai, Masaki AU - Ata, Shingo AU - Oka, Ikuo PY - 2007/// UR - http://dx.doi.org/10.1007/978-3-540-71617-4_30 ER -