Analysis of the characteristics of the data transmission process in an ISDN channel
Automatic Control and Computer Sciences
Introduction to queueing theory (2nd ed)
Introduction to queueing theory (2nd ed)
Queues with slowly varying arrival and service processes
Management Science
The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
A M/M/ queue in a semi-Markovian environment
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
The Stationary Characteristics of the G/MSP/1/r Queueing System
Automation and Remote Control
Steady-state analysis of a queue with varying service rate
Steady-state analysis of a queue with varying service rate
Modeling IP traffic using the batch Markovian arrival process
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Modeling multiple IP traffic streams with rate limits
IEEE/ACM Transactions on Networking (TON)
Single-Server Queues with Markov-Modulated Arrivals and Service Speed
Queueing Systems: Theory and Applications
Lack of Invariant Property of the Erlang Loss Model in Case of MAP Input
Queueing Systems: Theory and Applications
A BMAP/SM/1 Queueing System with Hybrid Operation Mechanism
Automation and Remote Control
On Queues with Markov Modulated Service Rates
Queueing Systems: Theory and Applications
Queueing Systems: Theory and Applications
A BMAP|PH|1 queue with feedback operating in a random environment
Mathematical and Computer Modelling: An International Journal
The BMAP/PH/N retrial queueing system operating in Markovian random environment
Computers and Operations Research
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We consider the BMAP/PH/N/0 queueing system operating in a finite state space Markovian random environment. Disciplines of partial admission, complete rejection and complete admission are analyzed. The stationary distribution of the system states is calculated. The loss probability and other main performance measures of the system are derived. The Laplace-Stieltjes transform of the sojourn time distribution of accepted customers is obtained. Illustrative numerical examples are presented. They show effect of an admission strategy, a correlation in an arrival process, a variation of a service process. Poor quality of the loss probability approximation by means of more simple models utilization is illustrated.