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- Heavy_traffic_approximation abstract "In queueing theory, a discipline within the mathematical theory of probability, a heavy traffic approximation (sometimes heavy traffic limit theorem or diffusion approximation) is the matching of a queueing model with a diffusion process under some limiting conditions on the model's parameters. The first such result was published by John Kingman who showed that when the utilisation parameter of an M/M/1 queue is near 1 a scaled version of the queue length process can be accurately approximated by a reflected Brownian motion.".
- Heavy_traffic_approximation wikiPageExternalLink gg1_2803.pdf.
- Heavy_traffic_approximation wikiPageID "36781768".
- Heavy_traffic_approximation wikiPageRevisionID "605575111".
- Heavy_traffic_approximation hasPhotoCollection Heavy_traffic_approximation.
- Heavy_traffic_approximation subject Category:Queueing_theory.
- Heavy_traffic_approximation subject Category:Stochastic_processes.
- Heavy_traffic_approximation subject Category:Traffic_simulation.
- Heavy_traffic_approximation comment "In queueing theory, a discipline within the mathematical theory of probability, a heavy traffic approximation (sometimes heavy traffic limit theorem or diffusion approximation) is the matching of a queueing model with a diffusion process under some limiting conditions on the model's parameters.".
- Heavy_traffic_approximation label "Heavy traffic approximation".
- Heavy_traffic_approximation sameAs m.0ll432h.
- Heavy_traffic_approximation sameAs Q17022030.
- Heavy_traffic_approximation sameAs Q17022030.
- Heavy_traffic_approximation wasDerivedFrom Heavy_traffic_approximation?oldid=605575111.
- Heavy_traffic_approximation isPrimaryTopicOf Heavy_traffic_approximation.