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Network traffic generation is a vital part of traffic research as the exponential growth of the number of servers, as well as the number of users. Various researchers have reported traffic analysis that demonstrates different results of traffic modeling, such as Poisson distribution or considerable burstiness on a range of time scales with properties of self-similarity. Due to the distinct standpoint...
Self-similarity is the one of important characteristics of real network traffic. In order to simulate the network traffic accurately, we present a technology of self-similar network traffic generation, and describe it from algorithm and hardware.On algorithm we analyze several typical self-similar traffic models, describe the superiority of multifractal wavelet in detail, and make it our generation...
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