Results 131 to 140 of about 393 (164)
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A Priority Retrial Queue with Constant Retrial Policy
2018We analyse a priority queueing system with a normal queue (high priority) and an orbit (low priority). Only the first customer in orbit can retry during times that the queue and server are empty (constant retrial policy). In contrast with existing literature, we assume different service time distributions for the high- and low-priority customers.
Arnaud Devos +2 more
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On a tandem queue with retrials and losses
Operational Research, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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On queueing systems by retrials
Journal of Applied Probability, 1983A general result for queueing systems with retrials is presented. This result relates the expected total number of retrials conducted by an arbitrary customer to the expected total number of retrials that take place during an arbitrary service time.
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Loss probability properties in retrial queues
Operations Research Letters, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chia-Li Wang, Ronald W. Wolff
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IEEE Transactions on Information Theory, 1988
An overloaded service system may reject customers if it has no queue to store them. In practice, rejected customers return later to make retrials and may not leave permanently (balk) until several retrials fail. A single-server system with Poisson arrivals is examined in which rejected customers balk or make retrials according to a simple probabilistic
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An overloaded service system may reject customers if it has no queue to store them. In practice, rejected customers return later to make retrials and may not leave permanently (balk) until several retrials fail. A single-server system with Poisson arrivals is examined in which rejected customers balk or make retrials according to a simple probabilistic
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TWO QUEUES IN TANDEM WITH RETRIAL CUSTOMERS
Probability in the Engineering and Informational Sciences, 2001This paper deals with two single server queues (nodes) in tandem, in which customers to the first node arrive according to a Poisson process. The service times at the two nodes are independent and arbitrarily distributed random variables. There is no waiting position between the two nodes.
Moutzoukis, Evangelos +1 more
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On a Multi-Channel Retrial Queueing System
Cybernetics and Systems Analysis, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Pryshchepa, O. V., Lebedev, E. O.
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NUMBER OF RETRIALS IN A FINITE SOURCE RETRIAL QUEUE WITH UNRELIABLE SERVER
Asia-Pacific Journal of Operational Research, 2014The object of this paper is to continue investigation of a single server retrial queue with finite number of sources in which the server is subjected to breakdowns and repairs. The server life time as well as the intervals between repetitions are exponentially distributed, while the repair and the service times are generally distributed.
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A Finite Source Retrial Queue: Number of Retrials
Communications in Statistics - Theory and Methods, 2013We consider a single-server queuing system with a finite number of sources, where customers are not allowed to queue; instead of that, they make repeated attempts, or retrials, in order to enter service after some time. This queuing system and its variants are widely used to model disk memory systems, star-like local area networks, and other ...
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Stochastic Decomposition in Retrial Queueing Inventory System
Proceedings of the 11th International Conference on Queueing Theory and Network Applications, 2016The purpose of this paper is to obtain product form solution for retrial – queueing – inventory system. We study anM/M/1 retrial queue with a storage system driven by an (s,S) policy. When server is idle, external arrivals enter directly to an orbit. Inventory replenishment lead time is exponentially distributed.
Achyutha Krishnamoorthy, Dhanya Shajin
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