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- W2339698300 abstract "We study the temporal clustering effects in the computer network traffic on the performance of a node with a given throughput limited by its outgoing channel capacity. The empirical data sets are exemplified by three different HTTP servers. We consider the inter-arrival times and the service times and evaluate the average system performance by the queuing system simulation. Our results indicate that the common M/M/1 model underestimates both the average queue size and the average sojourn time by one to two decades at 10–90% average system utilization. This leads to the 3–5 times underestimation of the required outgoing channel throughput to maintain the given average sojourn time. In contrast, by using an alternative model with Pareto-class distributions this underestimation can be reduced by more than one decade. The model is further improved once the long-range correlations in the inter-arrival times sequence are taken into account. Finally, we focus on the analysis of the long-range correlations in the total outgoing intraday traffic and discuss its potential implications on the occurrence of overloads and their reproducibility by the suggested model." @default.
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- W2339698300 date "2016-02-01" @default.
- W2339698300 modified "2023-09-25" @default.
- W2339698300 title "Temporal clustering effects in the network traffic evaluated by queueing system performance" @default.
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- W2339698300 doi "https://doi.org/10.1109/eiconrusnw.2016.7448196" @default.
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