Upper bounds on the rate of convergence for constant retrial rate queueing model with two servers

The paper deals with a Markovian retrial queueing system with a constant retrial rate and two servers. We present the detailed description of the model as well as establish the sufficient conditions for null ergodicity and strong ergodicity of the corresponding process and obtain the upper bounds on the rate of convergence for both situations. © 2018 Springer-Verlag GmbH Germany, part of Springer Nature

Authors
Satin Y.1 , Morozov E.2 , Nekrasova R.2 , Zeifman A.1, 3 , Kiseleva K. 1 , Sinitcina A.1 , Sipin A.1 , Shilova G.1 , Gudkova I.1, 3
Journal
Statistical Papers
Publisher
Springer New York LLC
Language
English
Pages
1-12
Status
Published
Link
External link
DOI
10.1007/s00362-018-1014-0
Year
2018
Organizations
  • 1 Vologda State University, Vologda, Russian Federation
  • 2 IAMR, KarRC RAS and Petrozavodsk State University, Petrozavodsk, Russian Federation
  • 3 IPI FRC CSC RAS
  • 4 VolSC RAS, Moscow, Russian Federation
  • 5 Peoples’ Friendship University of Russia (RUDN University), IPI FRC CSC RAS, Moscow, Russian Federation
Keywords
Constant retrial rate; Rate of convergence; Retrial queueing system; Two-server model
Date of creation
19.10.2018
Date of change
19.10.2018
Short link
https://repository.rudn.ru/en/records/article/record/6603/
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