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A queue management algorithm, called ascending semi-Cauchy distribution and Hurst coefficients Adaptive Random Early Detection, CHARED for short, was proposed based on ascending semi-Cauchy Distribution and real-time Hurst coefficients calculated by EBP. According to the Hurst coefficients of traffic, ascending semi-Cauchy Distribution of the CHARED was modified by tuning the maximum of the packet dropping probability, aiming to reduce the effect of the self-similarity so as to improve the performance. Simulated results demonstrate that the CHARED can be used to reduce packet loss ratio, queue delay and queue delay variability.
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