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To meet the requirements of the network activities and take into account P2P traffic classification challenges, a promising method is to use Machine Learning (ML) techniques and identify network applications based on flow features. We present a novel P2P traffic identification approach using back propagation neural network. It is demonstrated by simulation results that our approach can identify popular...
Classifying Internet network traffic flows offers substantial benefits to a number of key areas in network engineering and surveillance. However, as many newly-emerged P2P applications use dynamic port numbers and masquerading techniques, it causes the most challenging problem in network traffic classification. In this paper, we propose a novel multi-levels traffic classification technique that brings...
In order to break the traditional view of the online exhibition mode in E-Commerce, we propose a novel virtual interactive online exhibition architecture which combines Flash 3D technology, Flex 3 front-end technologies, and Ruby on Rails Server technology to present Rich Internet Applications (RIA). This architecture integrates a number of world's leading digital media technology, including Away3D...
We propose a novel pricing incentive mechanism supporting load balancing and allocating network resource efficiently for QoS-enabled networks. In this paper, we integrate the proposed pricing with QoS routing and present a novel pricing incentive mechanism meeting the QoS requirements of application. This mechanism provides a equitable pricing incentive for applications to according to their service...
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