GI/M/1 queueing systems with service rates depending on the length of queue
I. Kopocińska (1970)
Applicationes Mathematicae
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I. Kopocińska (1970)
Applicationes Mathematicae
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W. Szczotka (1974)
Applicationes Mathematicae
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Lee, Ho Woo, Lee, Soon Seok, Chae, K.C. (1996)
Journal of Applied Mathematics and Stochastic Analysis
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V. Jailaxmi, R. Arumuganathan, M. Senthil Kumar (2014)
RAIRO - Operations Research - Recherche Opérationnelle
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This paper analyses an M/G/1 retrial queue with working vacation and constant retrial policy. As soon as the system becomes empty, the server begins a working vacation. The server works with different service rates rather than completely stopping service during a vacation. We construct the mathematical model and derive the steady-state queue distribution of number of customer in the retrial group. The effects of various performance measures are derived.
R. Szekli (1984)
Applicationes Mathematicae
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W. Szczotka (1973)
Applicationes Mathematicae
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J. Bartoszewicz, T. Rolski (1970)
Applicationes Mathematicae
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Veena Goswami, Umesh C. Gupta, Sujit K. Samanta (2006)
RAIRO - Operations Research
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This paper analyzes a discrete-time multi-server queue in which service capacity of each server is a minimum of one and a maximum of customers. The interarrival- and service-times are assumed to be independent and geometrically distributed. The queue is analyzed under the assumptions of early arrival system and late arrival system with delayed access. Besides, obtaining state probabilities at arbitrary and outside observer's observation epochs, some performance measures and waiting-time...
Haridass, M., Arumuganathan, R. (2008)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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Gupta, U.C., Sikdar, Karabi (2004)
Journal of Applied Mathematics and Stochastic Analysis
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Ivan Atencia (2016)
International Journal of Applied Mathematics and Computer Science
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This paper considers a discrete-time queueing system in which an arriving customer can decide to follow a last come first served (LCFS) service discipline or to become a negative customer that eliminates the one at service, if any. After service completion, the server can opt for a vacation time or it can remain on duty. Changes in the vacation times as well as their associated distribution are thoroughly studied. An extensive analysis of the system is carried out and, using a probability...
Medhi Pallabi, Amit Choudhury (2012)
RAIRO - Operations Research
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In a multi server queuing system, buffer size is often larger than the number of servers. This necessitates queuing and waiting for some customers. Customers become impatient while waiting for service. Additionally, they may also become impatient if service is not offered at the desired rate. This paper analyses a finite buffer multi server queuing system with the additional restriction that customers may balk as well as renege. Closed ...
Medhi Pallabi, Amit Choudhury (2012)
RAIRO - Operations Research - Recherche Opérationnelle
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In a multi server queuing system, buffer size is often larger than the number of servers. This necessitates queuing and waiting for some customers. Customers become impatient while waiting for service. Additionally, they may also become impatient if service is not offered at the desired rate. This paper analyses a finite buffer multi server queuing system with the additional restriction that customers may balk as well as renege. Closed form expressions of a number of performance measures...
Gupta, U.C., Banik, A.D., Pathak, S.S. (2005)
Journal of Applied Mathematics and Stochastic Analysis
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