Reliability and Optimization Measures of Retrial Queue with Different Classes of Customers under a Working Vacation Schedule

Author:

Muthusamy Sundararaman1ORCID,Devadoss Narasimhan1ORCID,Ammar Sherif I.2ORCID

Affiliation:

1. Department of Mathematics, Srinivasa Ramanujan Centre, SASTRA Deemed University, Kumbakonam, Tamil Nadu, India

2. Department of Mathematics, Menoufia University, Shebin El Koum 32511, Egypt

Abstract

A working vacation queueing model is described in this work, with three different classes of customers: regular, priority, and disaster. The regular server serves all arriving customers, whereas the optional reservice is only provided to those who request it. The Bernoulli working vacation (BWV) schedule is considered. In WV time, the server serves at a slower rate. The generating functions (GF) technique is used to determine the system capacity of various server states. Different system performances, reliability indices, and cost optimization values are numerically shown. For the current COVID-19 pandemic situation, the motivation for this approach is presented in a telephonic communication system.

Publisher

Hindawi Limited

Subject

Modeling and Simulation

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cost optimization for system stability and orbital search under working vacation and starting failure by using the ANFIS soft computing;Ain Shams Engineering Journal;2024-08

2. Multiserver Retrial Queue with Two-Way Communication and Synchronous Working Vacation;Mathematics;2024-04-12

3. Particle swarm optimization and FM/FM/1/WV retrial queues with catastrophes: application to cloud storage;The Journal of Supercomputing;2024-04-03

4. Energy Optimization in WSN Through Vacation Policy;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

5. Maximum Entropy Solution for M^X/G/1 Priority Reiterate G-queue Under Working Breakdown and Working Vacation;International Journal of Mathematical, Engineering and Management Sciences;2024-02-01

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