Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

The Robustness of the cm-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates

Version 1 : Received: 10 August 2023 / Approved: 10 August 2023 / Online: 11 August 2023 (09:52:29 CEST)

A peer-reviewed article of this Preprint also exists.

Efrosinin, D.; Stepanova, N.; Sztrik, J. Robustness of the -Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates. Mathematics 2023, 11, 4002. Efrosinin, D.; Stepanova, N.; Sztrik, J. Robustness of the cμ-Rule for an Unreliable Single-Server Two-Class Queueing System with Constant Retrial Rates. Mathematics 2023, 11, 4002.

Abstract

We study the robustness of the cμ-rule for the optimal allocation of a resource consisting of one unreliable server to parallel queues with two different classes of customers. The customers in queues can be served with respect to a FCFS retrial discipline, when the customers at the head of queues repeatedly tries to occupy the server in a random time. It is proved that for the scheduling problem in the system without arrivals the cμ-rule minimizes the total average cost. For the system with arrivals it is difficult directly to prove the optimality of the same policy with explicit relations. We derived for an infinite-buffer model a static control policy that also prescribes for the certain values of system parameters the service exclusively for the class-i customers if both of queues are not empty with the aim to minimize the average cost per unit of time. It is also shown that in a finite-buffer case the cμ-rule fails.

Keywords

Queueing system; cm-rule; scheduling problem; static policy; average cost

Subject

Computer Science and Mathematics, Probability and Statistics

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.