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• W1997960904 abstract "We use fast simulation methods, based on importance sampling, to efficiently estimate cell loss probability in queueing models of the Leaky Bucket algorithm. One of these models was introduced by Berger (1991), in which the rare event of a cell loss is related to the rare event of an empty finite buffer in an overloaded queue. In particular, we propose a heuristic change of measure for importance sampling to efficiently estimate the probability of the rare empty-buffer event in an asymptotically unstable GI/GI/1/k queue. This change of measure is, in a way, dual to that proposed by Parekh and Walrand (1989) to estimate the probability of a rare buffer overflow event. We present empirical results to demonstrate the effectiveness of our fast simulation method. Since we have not yet obtained a mathematical proof, we can only conjecture that our heuristic is asymptotically optimal, as k/spl rarr//spl infin/." @default.
• W1997960904 created "2016-06-24" @default.
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• W1997960904 date "1994-12-11" @default.
• W1997960904 modified "2023-09-24" @default.
• W1997960904 title "Fast simulation of the leaky bucket algorithm" @default.
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• W1997960904 doi "https://doi.org/10.5555/193201.194037" @default.
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