Queueing System with Single Vacation and Single Service with Feedback

For a bulk arrival queueing system takes into consideration with 2 kinds of service patterns and single vacation. When a length of the queue is $\geq b$ least of batch length ‘b’, a bulk service will be supplied; moreover, a single vacation or service will be supplied. A bulk service is over, if a queue length is smaller than ‘ $\mathbf{b}$ ‘, a server goes to single vacation. A single vacation is over and queue length is $\geq \mathbf{b}$, a server will be provided bulk service; moreover, a server goes on a single service. A batch or single service is over, if customers are unsatisfied with the service, they will rejoin the queue with probability p. Using probability generating function (PGF), this type of queuing model was analyzed and some performance measures were also obtained. Lastly, graphical representation and tables are used to display the numerical data.

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Publication Details

Published
2025-04-24
DOI
https://doi.org/10.1109/amathe65477.2025.11081193
Primary Topic
Advanced Queuing Theory Analysis
Type
article
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article

Queueing System with Single Vacation and Single Service with Feedback

M. Seenivasan, R Raghavendra, R. Dhanabhakkiyam
Advanced Queuing Theory Analysis
article

Queueing System with Single Vacation and Single Service with Feedback

M. Seenivasan, R Raghavendra, R. Dhanabhakkiyam
article en

Abstract

For a bulk arrival queueing system takes into consideration with 2 kinds of service patterns and single vacation. When a length of the queue is $\geq b$ least of batch length ‘b’, a bulk service will be supplied; moreover, a single vacation or service will be supplied. A bulk service is over, if a queue length is smaller than ‘ $\mathbf{b}$ ‘, a server goes to single vacation. A single vacation is over and queue length is $\geq \mathbf{b}$, a server will be provided bulk service; moreover, a server goes on a single service. A batch or single service is over, if customers are unsatisfied with the service, they will rejoin the queue with probability p. Using probability generating function (PGF), this type of queuing model was analyzed and some performance measures were also obtained. Lastly, graphical representation and tables are used to display the numerical data.

Annamalai University (IN)
Openalex Percentile: Top 70%
Advanced Queuing Theory Analysis
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