Analysis of Repairable Geo/G/1 Queues with Negative Customers

We consider discrete-time Geo/G/1 queues with negative customers and a repairable server. The server is subject to failure due to a negative customer arrival. As soon as a negative customer arrives at a system, the server fails and one positive (ordinary) customer is forced to leave. At a failure in...

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Main Authors: Doo Ho Lee, Kilhwan Kim
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2014/350621
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author Doo Ho Lee
Kilhwan Kim
author_facet Doo Ho Lee
Kilhwan Kim
author_sort Doo Ho Lee
collection DOAJ
description We consider discrete-time Geo/G/1 queues with negative customers and a repairable server. The server is subject to failure due to a negative customer arrival. As soon as a negative customer arrives at a system, the server fails and one positive (ordinary) customer is forced to leave. At a failure instant, the server is turned off and the repair process immediately begins. We construct the mathematical model and present the probability generating functions of the system size distribution and the FCFS sojourn time distribution. Finally, some numerical examples are given to show the influence of negative customer arrival on the performance measures of the system.
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institution Kabale University
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publishDate 2014-01-01
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spelling doaj-art-12505b7122004da4ac44410cdeb75c222025-02-03T05:59:28ZengWileyJournal of Applied Mathematics1110-757X1687-00422014-01-01201410.1155/2014/350621350621Analysis of Repairable Geo/G/1 Queues with Negative CustomersDoo Ho Lee0Kilhwan Kim1Software Contents Research Lab, ETRI, Daejeon 305-700, Republic of KoreaDepartment of Management Engineering, Sangmyung University, Chungnam 330-720, Republic of KoreaWe consider discrete-time Geo/G/1 queues with negative customers and a repairable server. The server is subject to failure due to a negative customer arrival. As soon as a negative customer arrives at a system, the server fails and one positive (ordinary) customer is forced to leave. At a failure instant, the server is turned off and the repair process immediately begins. We construct the mathematical model and present the probability generating functions of the system size distribution and the FCFS sojourn time distribution. Finally, some numerical examples are given to show the influence of negative customer arrival on the performance measures of the system.http://dx.doi.org/10.1155/2014/350621
spellingShingle Doo Ho Lee
Kilhwan Kim
Analysis of Repairable Geo/G/1 Queues with Negative Customers
Journal of Applied Mathematics
title Analysis of Repairable Geo/G/1 Queues with Negative Customers
title_full Analysis of Repairable Geo/G/1 Queues with Negative Customers
title_fullStr Analysis of Repairable Geo/G/1 Queues with Negative Customers
title_full_unstemmed Analysis of Repairable Geo/G/1 Queues with Negative Customers
title_short Analysis of Repairable Geo/G/1 Queues with Negative Customers
title_sort analysis of repairable geo g 1 queues with negative customers
url http://dx.doi.org/10.1155/2014/350621
work_keys_str_mv AT dooholee analysisofrepairablegeog1queueswithnegativecustomers
AT kilhwankim analysisofrepairablegeog1queueswithnegativecustomers