We consider a single server Markovian feedback queue with variant of multiple
vacation policy, balking, server's states-dependent reneging, and retention
of reneged customers. We obtain the steady-state solution of the considered
queue based on the use of probability generating functions. Then, the
closed-form expressions of different system characteristics are derived.
Finally, we present some numerical results in order to show the impact of the
parameters of impatience timers on the performance measures of the system.
In this paper, we analyze a multi-server queue with customers impatience and Bernoulli feedback under a variant of multiple vacations. On arrival, a customer decides whether to join or balk the system, based on the observation of the system size as well as the status of the servers. It is supposed that customer impatience can arise both during busy and vacation period because of the long wait already experienced in the system. The latter can be retained via certain mechanism used by the system. The feedback occurs as returning a part of serviced customers to get a new service. The queue under consideration can be used to model the processes of information transmission in telecommunication networks. We develop the Chapman-Kolmogorov equations for the steady-state probabilities and solve the differential equations by using the probability generating function method. In addition, we obtain explicit expressions of some important system characteristics. Different queueing indices are derived such as the probabilities when the servers are in different states, the mean number of customers served per unit of time, and the average rates of balking and reneging.
We consider a single server Markovian feedback queue with variant of multiple
vacation policy, balking, server's states-dependent reneging, and retention
of reneged customers. We obtain the steady-state solution of the considered
queue based on the use of probability generating functions. Then, the
closed-form expressions of different system characteristics are derived.
Finally, we present some numerical results in order to show the impact of the
parameters of impatience timers on the performance measures of the system.
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