Matrix computations (3rd ed.)
A minimal representation of Markov arrival processes and a moments matching method
Performance Evaluation
Characterizing the departure process from a two server Markovian queue: a non-renewal approach
Proceedings of the 40th Conference on Winter Simulation
Hi-index | 0.00 |
Stationary probabilities are fundamental in response to various measures of performance in queueing networks. Solving stationary probabilities in Quasi-Birth-and-Death (QBD) with phase-type distribution normally are dependent on the structure of the queueing network. In this paper, a new computing scheme is developed for attaining stationary probabilities in queueing networks with multiple servers. This scheme provides a general approach of considering the complexity of computing algorithm. The result becomes more significant when a large matrix is involved in computation. The background theorem of this approach is proved and provided with an illustrative example in this paper.