Prediction of the optimal control in a multi-server heterogeneous queueing system

In this paper we consider a multi-server heterogeneous queueing system where servers differ in service rates and operating costs. The optimal allocation policy for this system is of threshold type. Gathering data for evaluated optimal threshold levels and system parameters is performed using a policy iteration algorithm. We study the possibility to use these data-sets to provide predictions for optimal thresholds through artificial neural networks. The obtained results are accompanied by heuristic solution based on a uid approximation. Numerical examples illustrate the quality of provided predictions. Copyright © 2020 for this paper by its authors.

Авторы
Efrosinin D. 1, 2 , Stepanova N.3
Сборник материалов конференции
Издательство
CEUR-WS
Язык
Английский
Страницы
102-112
Статус
Опубликовано
Том
2792
Год
2020
Организации
  • 1 Johannes Kepler University Linz, 69 Altenbergerstrasse, Linz, 4030, Austria
  • 2 Peoples' Friendship University of Russia, RUDN University, 6 Miklukho-Maklaya St, Moscow, 117198, Russian Federation
  • 3 Institute of Control Problems, 65 Profsoyuznaya St, Moscow, 117997, Russian Federation
Ключевые слова
Artificial Neural Networks; Heterogeneous Queueing System; Heuristic Solution; Policy-Iteration Algorithm
Дата создания
20.04.2021
Дата изменения
20.04.2021
Постоянная ссылка
https://repository.rudn.ru/ru/records/article/record/71854/
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