Dobrushin mean-field approach for queueing large-scale networks with a small parameter

In this paper it is considered a system that consists of infinite number of servers with a Poisson input flow of requests of intensity Nλ. Each requests arriving to the system randomly selects two servers and is instantly sent to the one with the shorter queue. In this case a share u:k (t) of the servers that have the queues lengths with not less than k can be described using an infinite system of differential equations. It is possible to investigate Tikhonov type Cauchy problem for this system with small parameter μ for building the solutions u:k (t). The evolution analysis of u:k (t) (k=1,2, …) be applied to application in queueing large-scale networks analysis. © 2017, Springer International Publishing AG.

Authors
Publisher
Springer Verlag
Language
English
Pages
395-405
Status
Published
Volume
700
Year
2017
Organizations
  • 1 Department of Applied Probability and Informatics, RUDN University, Miklukho-Maklaya St. 6, Moscow, 117198, Russian Federation
Keywords
Analytical methods in probability theory; Countable Markov chains; Large network modeling; Singular perturbated systems of differential equations; Small parameter; Systems of differential equations of infinite order
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/5801/
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