<abstract xmlns="http://www.w3.org/1999/xhtml"><p> This paper investigates an N-policy GI/M/1 queue in a multi-phase service environment with disasters, where the system tends to suffer from disastrous failures while it is in operative service environments, making all present customers leave the system simultaneously and the server stop working completely. As soon as the number of customers in the queue reaches a threshold value, the server resumes its service and moves to the appropriate operative service environment immediately with some probability. We derive the stationary queue length distribution, which is then used for the computation of the Laplace-Stieltjes transform of the sojourn time of an arbitrary customer and the server’s working time in a cycle. In addition, some numerical examples are provided to illustrate the impact of several model parameters on the performance measures.</p></abstract>

This paper investigates an N-policy GI/M/1 queue in a multi-phase service environment with disasters, where the system tends to suffer from disastrous failures while it is in operative service environments, making all present customers leave the system simultaneously and the server stop working completely. As soon as the number of customers in the queue reaches a threshold value, the server resumes its service and moves to the appropriate operative service environment immediately with some probability. We derive the stationary queue length distribution, which is then used for the computation of the Laplace-Stieltjes transform of the sojourn time of an arbitrary customer and the server’s working time in a cycle. In addition, some numerical examples are provided to illustrate the impact of several model parameters on the performance measures.

Analysis of an N–Policy GI/M/1 Queue in a Multi–Phase Service Environmentwith Disasters

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

This paper investigates an N-policy GI/M/1 queue in a multi-phase service environment with disasters, where the system tends to suffer from disastrous failures...

Analysis of an N–Policy GI/M/1 Queue in a Multi–Phase Service Environmentwith Disasters

Published Online: Jun 29, 2018

Page range: 375 - 386

Received: Feb 19, 2017

Accepted: Jan 29, 2018

DOI: https://doi.org/10.2478/amcs-2018-0028

Keywords
N-policy, GI/M/1 queue, multi-phase service environment, disasters, sojourn time

© 2018 Tao Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Analysis of an N–Policy GI/M/1 Queue in a Multi–Phase Service Environmentwith Disasters

Published Online: Jun 29, 2018

Page range: 375 - 386

Received: Feb 19, 2017

Accepted: Jan 29, 2018

DOI: https://doi.org/10.2478/amcs-2018-0028

KeywordsN-policy, GI/M/1 queue, multi-phase service environment, disasters, sojourn time

© 2018 Tao Jiang, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
N-policy, GI/M/1 queue, multi-phase service environment, disasters, sojourn time