Retrial queues with server subject to breakdown and repairs
Queueing Systems: Theory and Applications - Special issue of queueing systems, theory and applications
The M/G/1 retrial queue with Bernoulli schedule
Queueing Systems: Theory and Applications - Special issue of queueing systems, theory and applications
Optimal control of the MX/G/1/K queue with multiple server vacations
Computers and Operations Research
Analysis of an M/G/1 queue with constant repeated attempts and server vacations
Computers and Operations Research
On the single server retrial queue subject to breakdowns
Queueing Systems: Theory and Applications
Reliability Analysis of the Retrial Queue with Server Breakdowns and Repairs
Queueing Systems: Theory and Applications
The M/M/1 retrial queue with retrials due to server failures
Queueing Systems: Theory and Applications
A batch arrival retrial queueing system with two phases of service and service interruption
Computers & Mathematics with Applications
An M/G/1 retrial queue with an unreliable server and general repair times
Performance Evaluation
An inventory model with server interruptions
Proceedings of the 5th International Conference on Queueing Theory and Network Applications
Optimal bernoulli routing in an unreliable m/g/1 retrial queue
Probability in the Engineering and Informational Sciences
Coupling method for asymptotic analysis of queues with regenerative input and unreliable server
Queueing Systems: Theory and Applications
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As a model for streaming multimedia applications, we study an unreliable retrial queue with infinite-capacity orbit and normal queue for which the retrial rate and the server repair rate are controllable. Customers join the retrial orbit if and only if their service is interrupted by a server failure. Interrupted customers do not rejoin the normal queue but repeatedly attempt to access the server at independent and identically distributed intervals until it is found functioning and idle. We provide stability conditions, queue length distributions, stochastic decomposition results, and performance measures. The joint optimization of the retrial and server repair rates is also studied.