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Evaluation of steady-state probability of Pareto/M/1/K experiencing tail-raising effect

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI: 10.1007/978-3-540-45076-4_56
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Abstract

To resolve the problem of evaluating for the steady-state probability of Pareto/M/1/K showing the tail-raising effect, we propose an empirical model of the steady-state probability and justified by evaluating the mean queue length and delay by simulations. © Springer-Verlag Berlin Heidelberg 2003.

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Koh, Y., & Kim, K. (2003). Evaluation of steady-state probability of Pareto/M/1/K experiencing tail-raising effect. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag. https://doi.org/10.1007/978-3-540-45076-4_56

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