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- W2254081299 abstract "Comprehension of network traffic characteristics is a central preoccupation for Internet Service Providers. From a statistical viewpoint, this is a difficult problem since it encompasses several components as the network design and the transport protocol used (TCP, UDP). Over the last decade, many research efforts have been devoted to the study of aggregated traffic time series collected at the core of networks. The pioneering works by [1], [2] showed that the Poisson hypothesis, which is relevantly used in phone networks, was not suitable to describe computer networks. Instead, self-similarity was proved a much more appropriate paradigm [1], [2], [3]. Then, the theoretical work from Taqqu and collaborators [4], [2] identified the heavytailed nature of the file size distribution as a possible origin for the observed self-similarity. In addition, it gave the exact relation between the self-similarity index and the tail index that should be observed when the sources behavior is modeled with the ON/OFF model. Despite a controversial debate on the question, it has then been more recently stated that the TCP congestion control mechanism cannot be responsible for the self-similarity observed in the large time scales [5], [6]. On the opposite side, we show in this work that when the file size is heavy-tailed, the TCP congestion control mechanism under sufficiently high loss can annihilate the self-similarity that would be observed without any loss." @default.
- W2254081299 created "2016-06-24" @default.
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- W2254081299 date "2008-09-01" @default.
- W2254081299 modified "2023-10-18" @default.
- W2254081299 title "How {TCP} can kill Self-Similarity" @default.
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