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Recently, the need of traffic classification and applications identification has attracted numerous research efforts. Based on statistical attribute analysis, recent research studies employed machine learning algorithms for building traffic classifiers. The machine learning based traffic classification achieves high accuracy and becomes prominent scheme. This paper proposes the framework of cloud-based...
This paper proposes a concept to construct a Traffic-Localized and Resource-Efficient tree-based architecture to support the delivery of an SVC-encoded live video streaming onto a Public-Shared Network. A Public-Shared Network consists of a large number of bandwidth sharable devices, such as sharable APs in a FON network. The SVC-encoded video streaming is employed to provide the smooth access of...
There are more and more P2P applications in the Internet, with or without encrypted content. The P2P applications can be classified into three categories: file sharing (BT, eMule), VoIP (Skype, MSN), and video streaming (PPStream, PPLive). By observing the common communication nature among the peers, this paper proposes a simple but efficient way to identify the P2P traffic by the DNS query behavior...
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