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The characterization of HTTP traffic is crucial for performance evaluation and server design. In this paper, the authors analyze massive web traces generated by various busy servers in recent years, trying to find the new features of modern HTTP traffic and user behaviors. Comparing the conclusions of earlier studies with their results, they have spotted considerable unconventional ingredients in modern HTTP traffic that could hardly be described by previous models. They also propose an innovative scheme to automatically categorize these various ingredients in modern traffic.
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