Discrete-Time Models for Communication Systems Including ATM
Discrete-Time Models for Communication Systems Including ATM
Steady-state queue size distribution of discrete-time PH/Geo/1 retrial queues
Mathematical and Computer Modelling: An International Journal
Accessible bibliography on retrial queues
Mathematical and Computer Modelling: An International Journal
Analysis of an M/{Dn}/1 retrial queue
Journal of Computational and Applied Mathematics
A discrete-time Geo/G/1 retrial queue with starting failures and second optional service
Computers & Mathematics with Applications
A multiserver retrial queue: regenerative stability analysis
Queueing Systems: Theory and Applications
Analyzing a degenerate buffer with general inter-arrival and service times in discrete time
Queueing Systems: Theory and Applications
Discrete-time GeoX/G/1 queue with unreliable server and multiple adaptive delayed vacations
Journal of Computational and Applied Mathematics
The discrete-time queueing system with inversive service order and probabilistic priority
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
A discrete-time retrial queue with negative customers and unreliable server
Computers and Industrial Engineering
Performance evaluation of a discrete-time Geo[X]/G/1 retrial queue with general retrial times
Computers & Mathematics with Applications
Computers and Industrial Engineering
A discrete-time Geo/G/1 retrial queue with starting failures and impatient customers
Transactions on computational science VII
An embedded gateway based on real-time database
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Discrete-time Geo/G/1 retrial queue with general retrial times and starting failures
Mathematical and Computer Modelling: An International Journal
An improved truncation technique to analyze a Geo/PH/1 retrial queue with impatient customers
Computers and Operations Research
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We consider a discrete-time Geo/G/1 retrial queue in which the retrial time has a general distribution and the server, after each service completion, begins a process of search in order to find the following customer to be served. We study the Markov chain underlying the considered queueing system and its ergodicity condition. We find the generating function of the number of customers in the orbit and in the system. We derive the stochastic decomposition law and as an application we give bounds for the proximity between the steady-state distributions for our queueing system and its corresponding standard system. Also, we develop recursive formulae for calculating the steady-state distribution of the orbit and system sizes. Besides, we prove that the M/G/1 retrial queue with general retrial times can be approximated by our corresponding discrete-time system. Finally, we give numerical examples to illustrate the effect of the parameters on several performance characteristics.