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• W2187553154 abstract "We propose a new model for network heavy-traffic approximation, based on -stable self-similar processes, namely the skewed linear fractional stable noise. The model demonstrates more flexibility than existing models in fitting different levels of burstiness and correlation in the data. Nonetheless, it is parsimo- nious in the number of parameters, which have a direct physical meaning. An algorithmic procedure for the estimation of the model parameters is presented, and an asymptotic lower bound of the residual queueing distribution is derived. Extensive simulations are presented, where the new model is fitted to bursty Ethernet data collected at Bellcore (now Telcordia) Laboratories. Furthermore, new measurements of aggregate web and webcasting traffic are introduced along with traffic generated by the fitted new model. Queueing simulations of a G/D/1 system confirm our analytical re- sults regarding the tail of the queue distribution." @default.
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• W2187553154 date "2001-01-01" @default.
• W2187553154 modified "2023-09-26" @default.
• W2187553154 title "Network Heavy Traffic Modeling Using -Stable" @default.
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