Journal of Applied Probability · 1980 · 30 citations · 3 references
EngineeringMathematicsProbability TheoryStochastic ModelingStochastic ProcessesMarkov ChainsMarkov ProcessesQueueing AnalysisQueueing ProcessesQueueing SystemsQueueing TheoryEmbedded Markov Chain AnalysisFinite Markov ChainsQueueing ModelsRandom Matrices
Many queueing models have embedded Markov chains, whose invariant probability vector is of a (modified) matrix-geometric form. The rate matrix R is shown to have the following probabilistic interpretation: The element R vj is the expected number of visits to the state ( i + 1, j ), before the first return to the set i = {( i , 1), …,( i, m )}, in a chain starting in the state ( i , v ).
3