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

Авторы
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
Журнал
Statistical Papers
Издательство
Springer New York LLC
Язык
Английский
Страницы
1-12
Статус
Опубликовано
Ссылка
Внешняя ссылка
DOI
10.1007/s00362-018-1014-0
Год
2018
Организации
  • 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
Ключевые слова
Constant retrial rate; Rate of convergence; Retrial queueing system; Two-server model
Дата создания
19.10.2018
Дата изменения
19.10.2018
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/6603/
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