Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/75457
Title: Research of impact input rate random variations on macroscopic characteristics of non-stationary queuing system
Authors: Korelin, I. A.
Porshnev, S. V.
Shemyakin, D. G.
Issue Date: 2018
Publisher: Institute of Physics Publishing
Citation: Korelin I. A. Research of impact input rate random variations on macroscopic characteristics of non-stationary queuing system / I. A. Korelin, S. V. Porshnev, D. G. Shemyakin // Journal of Physics: Conference Series. — 2018. — Vol. 1053. — Iss. 1. — 12011.
Abstract: The results of research of input stream rate random variations influence on the macroscopic characteristics of a nonstationary queuing system (NQS) are discussed in this paper. Statistical information obtained during the football match between the football clubs "Krylia Sovetov" and "Dynamo" at the stadium "Metallurg" in Samara is available. The characteristics of the stochastic component of the variation in the input rate were chosen on the basis of this information. The probability density function and the cumulative distribution function of random variations in the input rate of applications were estimated using the Rosenblatt-Parzen approximation. NQ's characteristics was studied such as the maximum queue length, the maximum waiting time in the queue, the time point at which the maximum queue length is reached, and the time point at which waiting time in the queue the longest, the number of visitors who entered at the time of the match beginning, the time needed to service the entire queue. The results of the statistical simulation shown that taking into account the random component of the variation input rate does not affect this macroscopic characteristics. © Published under licence by IOP Publishing Ltd.
Keywords: DISTRIBUTION FUNCTIONS
INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY
PROBABILITY DENSITY FUNCTION
PROBABILITY DISTRIBUTIONS
QUEUEING NETWORKS
SPORTS
STOCHASTIC SYSTEMS
CUMULATIVE DISTRIBUTION FUNCTION
NONSTATIONARY
QUEUING SYSTEMS
RANDOM COMPONENTS
RANDOM VARIATION
STATISTICAL INFORMATION
STATISTICAL SIMULATION
STOCHASTIC COMPONENT
QUEUEING THEORY
URI: http://elar.urfu.ru/handle/10995/75457
Access: info:eu-repo/semantics/openAccess
Conference name: 1st International Conference on Physics, Mathematics and Statistics, ICPMS 2018
Conference date: 12 May 2018 through 14 May 2018
RSCI ID: 35723545
SCOPUS ID: 85051398962
PURE ID: 7763770
ISSN: 1742-6588
DOI: 10.1088/1742-6596/1053/1/012011
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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