Direct solutions of M/G/1 priority queueing models
T. M. O'Donovan (1976)
RAIRO - Operations Research - Recherche Opérationnelle
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T. M. O'Donovan (1976)
RAIRO - Operations Research - Recherche Opérationnelle
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Ernest Koenigsberg (1985)
RAIRO - Operations Research - Recherche Opérationnelle
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K. Bidhi Singh (1978)
RAIRO - Operations Research - Recherche Opérationnelle
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George P. Cosmetatos, Gregory P. Prastacos (1985)
RAIRO - Operations Research - Recherche Opérationnelle
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Haridass, M., Arumuganathan, R. (2008)
International Journal of Open Problems in Computer Science and Mathematics. IJOPCM
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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...
R. L. Garg, S. K. Khanna (1983)
RAIRO - Operations Research - Recherche Opérationnelle
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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.
Jau-Chuan Ke, Kuo-Hsiung Wang (2003)
RAIRO - Operations Research - Recherche Opérationnelle
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In this paper we consider a like-queue production system in which server startup and breakdowns are possible. The server is turned on (i.e. begins startup) when units are accumulated in the system and off when the system is empty. We model this system by an M/M/1 queue with server breakdowns and startup time under the policy. The arrival rate varies according to the server’s status: off, startup, busy, or breakdown. While the server is working, he is subject to breakdowns according...
R. S. Gaur (1973)
RAIRO - Operations Research - Recherche Opérationnelle
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