Journal of Applied Probability · 2006 · 13 citations · 23 references
BusinessComputer ScienceMarkov Decision ProcessesQueuing TheoryService OperationsFinite Capacity QueuesQueueing AnalysisQueueing SystemsQueueing TheoryQueuing AnalysisSingle-server QueuesParallel QueuesQueueing ModelsQueueing Network DesignQueueing Theory OptimizationQueuesState-dependent QueuesTandem Queueing Networks
We consider a system of parallel, finite tandem queues with loss. Each tandem queue consists of two single-server queues in series, with capacities C 1 and C 2 and exponential service times with rates μ 1 and μ 2 for the first and second queues, respectively. Customers that arrive at a queue that is full are lost. Customers arriving at the system can choose which tandem queue to enter. We show that, for customers choosing a queue to maximise the probability of their reaching the destination (or minimise their individual loss probability), it will sometimes be optimal to choose queues with more customers already present and/or with greater residual service requirements (where preceding customers are further from their final destination).
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