Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications - Special issue of queueing systems, theory and applications
An investigation of phase-distribution moment-matching algorithms for use in queueing models
Queueing Systems: Theory and Applications
A multiserver retrial queue with a finite number of sources of primary calls
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
Computers and Industrial Engineering
Finite-source M/M/S retrial queue with search for balking and impatient customers from the orbit
Computer Networks: The International Journal of Computer and Telecommunications Networking
Proceedings of the 5th International Conference on Queueing Theory and Network Applications
Analysis of the successful and blocked events in the Geo/Geo/c retrial queue
Computers & Mathematics with Applications
Steady state analysis of level dependent quasi-birth-and-death processes with catastrophes
Computers and Operations Research
Stochastic analysis of a finite source retrial queue with spares and orbit search
MMB'12/DFT'12 Proceedings of the 16th international GI/ITG conference on Measurement, Modelling, and Evaluation of Computing Systems and Dependability and Fault Tolerance
Phase-type models for cellular networks supporting voice, video and data traffic
Mathematical and Computer Modelling: An International Journal
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We study retrial queues with a finite source of customers and identical multiple servers in parallel. Service time requirements in such systems are not of exponential type, yet most of the models assume this service distribution. In this paper, we allow the service times to assume phase type distribution and present two different types of Markov chains based on state space arrangements, for modelling the system. We discuss the special features of the two formulations, show how to obtain some key performance measures and present numerical examples.