Advances in Applied Probability · 1970 · 34 citations · 8 references
BusinessMathematicsProbability TheoryQueuing TheoryStochastic ProcessesMulti-server QueuesQueueing AnalysisQueueing NetworksQueueing ProcessesQueueing SystemsQueueing TheoryChannelsHeavy Traffic TheoryQueueing ModelsServer Selection
As in [4] and [5], we study service facilities with r arrival channels and s service channels. However, here we assume that customers, immediately upon arrival, randomly select one of the s service channels. Successive customers make this choice independently, choosing server i with probability p i , p 1 + · · · + p s = 1. Customers are then served by the servers they select in order of their arrival without defections. The average processing rates as well as the server selection probabilities may vary from server to server, but again we assume the r arrival channels are independent and independent of the service channels. The service channels are not independent, however, because of the random server selection. For simplicity, we only consider a single queueing system; the extension to sequences follows immediately using the argument of [5].
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Multiple channel queues in heavy traffic. I
Donald L. Iglehart, Ward Whitt · Advances in Applied Probability · 1970 · 452 citations