Erlang loss queueing system with batch arrivals operating in a random environment
Computers and Operations Research
The M/G/1 retrial queue: New descriptors of the customer's behavior
Journal of Computational and Applied Mathematics
The MAP/M/N retrial queueing system with time-phased batch arrivals
Problems of Information Transmission
Recursive formulas for the moments of queue length in the BMAP/G/1 queue
IEEE Communications Letters
Moments of the queue size distribution in the MAP/G/1 retrial queue
Computers and Operations Research
The BMAP/PH/N retrial queueing system operating in Markovian random environment
Computers and Operations Research
A tandem retrial queueing system with two Markovian flows and reservation of channels
Computers and Operations Research
Tandem service system with batch Markov flow and repeated calls
Automation and Remote Control
A dual tandem queueing system with a finite intermediate buffer and cross traffic
Proceedings of the 5th International Conference on Queueing Theory and Network Applications
Retrial queueing model MMAP/M2/1 with two orbits
MACOM'10 Proceedings of the Third international conference on Multiple access communications
Priority tandem queueing model with admission control
Computers and Industrial Engineering
Queueing system MAP/M/N as a model of call center with call-back option
ASMTA'12 Proceedings of the 19th international conference on Analytical and Stochastic Modeling Techniques and Applications
MMAP|M|N queueing system with impatient heterogeneous customers as a model of a contact center
Computers and Operations Research
Help desk center operating model as a two-phase queueing system
Problems of Information Transmission
Retrial queuing system with Markovian arrival flow and phase-type service time distribution
Computers and Industrial Engineering
Computers and Operations Research
Hi-index | 0.00 |
Multi-dimensional asymptotically quasi-Toeplitz Markov chains with discrete and continuous time are introduced. Ergodicity and non-ergodicity conditions are proven. Numerically stable algorithm to calculate the stationary distribution is presented. An application of such chains in retrial queueing models with Batch Markovian Arrival Process is briefly illustrated.