Understanding the Long-Term Self-Similarity of Internet Traffic
نویسندگان
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منابع مشابه
Long range dependence in Internet backbone traffic
♣ This research was sponsored by WorldCom, Inc. Abstract—We report the first statistical analysis of Internet backbone traffic, based on traces with levels of aggregation 10 times larger and timestamp accuracy 1000 times better than in previous studies. We analyze the first three moments, marginal distributions and correlation structures of packet size, packet inter-arrival time, byte count and...
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The characterization and quantitative description of Internet traffic is becoming increasingly important in light of the rapid growth being observed in the size and usage of the network. Modeling of modern teletraffic and large telecommunications networks with fractal stochastic processes has been investigated by analyzing traffic measurements collected on the “Federico II” university WAN link ...
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Over the last few years, the network community has started to rely heavily on the use of novel concepts such as fractals, self-similarity, long-range dependence, power-laws. Especially evidence of fractals, self-similarity and long-range dependence in network traffic have been widely observed. Despite their wide use, there is still much confusion regarding the identification of such phenomena i...
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Experimental measurements show that many relevant processes in telecommunication engineering exhibit self-similarity and long-range dependence (LRD) characteristics. Internet traffic is a significant example. A traditional parameter used to characterize self-similarity and LRD is the Hurst parameter H. Recently, the Modified Allan Variance (MAVAR) has been proposed to estimate the power-law spe...
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It is now well known that Internet traffic exhibits self-similarity, which cannot be described by traditional Markovian models such as the Poisson process. The causes of self-similarity of network traffic must be identified because understanding the nature of network traffic is critical in order to properly design and implement computer networks and network services like the World Wide Web. Whi...
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تاریخ انتشار 2001