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In many applications, one class of data is presented by a large number of examples while the other only by a few. For instance, in our previous works on identification of peer-to-peer (P2P) Internet traffics, we observed that only about 30% of examples can be labeled as ldquoP2Prdquo using a port-based heuristic rule, and even fewer examples can be labeled in the future as more and more P2P applications...
CDN (Content Delivery Network) and P2P (Peer-to-Peer) are two dominant technologies in large-scale content distribution. However, they have their own advantages and disadvantages. In this paper, an efficient hierarchical content distribution scheme is proposed, integrating the traditional CDN and centralized P2P. In our approach, content distribution is divided into two stages. In the CDN-level core...
We apply streaming data mining techniques, and in particular, concept-adapting very fast decision tree (CVFDT) to identify peer-to-peer (P2P) applications in Internet traffic, as the Internet data flows dynamically in large volumes (streaming data), and in P2P applications, new communities of peers often attend and old communities of peers often leave, requiring the identification methods to be capable...
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