Communications in Statistics Stochastic Models · 1985 · 93 citations · 6 references
BusinessComputer ScienceMarkov Decision ProcessesQueuing TheoryService OperationsMulti-server QueuesQueue Length DistributionsQueueing AnalysisQueueing ProcessesQueueing SystemsQueueing TheoryMultiserver QueuesRenewal Input ModelsRenewal Queueing TheoryStationary Arrival ProcessesSteady-state Queue AnalysisSteady-state Queueing Analysis
We consider the multiserver queue with c phase type servers and a renewal input. It is well-known that the stationary joint distribution of the queue length and the number of servers in each phase of service is “modified matrix-geometric”, that is, of the form . Here, the component xv(n1,...,nm) of the vector xv is the probability that a stationary arrival finds v customers in the system and that immediately thereafter n, servers are in phase i of service, 1≤i≤m. The matrix R appears also in the formulas for all interesting queue characteristics and is therefore important. Here we develop efficient schemes to compute the matrix R and the “boundary probabilities” x0,...,xc-1. We also provide a complete proof for the easily implementable formula for the stationary waiting time distribution; this proof was sketched in an earlier paper without much detail.
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Matrix-geometric solutions in stochastic models
Gian‐Carlo Rota · Advances in Mathematics · 1985 · 880 citations
David M. Lucantoni, V. Ramaswami · Communications in Statistics Stochastic Models · 1985 · 91 citations