开放排队网络中极端队列长度的迭代对数律

IF 0.9 Q3 COMPUTER SCIENCE, THEORY & METHODS International Journal of Computer Mathematics: Computer Systems Theory Pub Date : 2021-07-03 DOI:10.1080/23799927.2021.1969432
S. Minkevičius, L. Sakalauskas
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引用次数: 1

摘要

本文在开放排队网络领域进行研究的目的是证明开放排队网络中顾客排队长度极值的迭代对数定律。证明了大流量条件下排队系统的重要概率特征——顾客排队长度的极值。此外,在附录1和附录2中,我们给出了各种交通条件下作业的极端排队长度的概率律(LIL定理、流体极限定理和扩散极限定理),并模拟了一个开放排队网络。
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On the law of iterated logarithm for extreme queue length in an open queueing network
The purpose of this research in the field of the open queueing network is to prove the Law of the Iterated Logarithm (LIL) for the extreme value of the queue length of customers in an open queueing network. LIL is proved for the extreme values of the queue length of customers the important probability characteristic of the queueing system under conditions of heavy traffic. Also, we present for extreme queue length of jobs Probability Laws ((theorems on the LIL, Fluid Limits Theorem and Diffusion Limit Theorem) in various conditions of traffic and simulating an open queueing network in Appendices 1 and 2.
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来源期刊
International Journal of Computer Mathematics: Computer Systems Theory
International Journal of Computer Mathematics: Computer Systems Theory Computer Science-Computational Theory and Mathematics
CiteScore
1.80
自引率
0.00%
发文量
11
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